ABSTRACTS FOR THE PRESENTATIONS

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            8th International Symposium of the AHP

 

East West Center, University of Hawaii

Honolulu, Hawaii, USA

July 8-10, 2005

 

Abstracts of theProceedings

8th International Symposium of the

Analytic Hierarchy Process

 

Sponsored by

University of Hawaii

Creative Decisions Foundation

 

Chairman:  Jason Levy, University of Hawaii, jlevy@hawaii.edu

Honorary ISAHP Chair and ISAHP Founder: Thomas L. Saaty,

University of Pittsburgh, saaty@katz.pitt.edu

Editor:  Jason Levy, University of Hawaii, jlevy@hawaii.edu

Editor: Rozann Saaty, Creative Decisions Foundation, rozann@creativedecisions.net

 

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FOUNDER’S SPEECH

Multi-decisions Decision-Making:

In Addition To Wheeling And Dealing Our National Politics Needs A Formal Approach To Prioritization For Better Decision-making. How?

 

Thomas L. Saaty

4922 Ellsworth Ave.

University of Pittsburgh

Pittsburgh, PA 15213

saaty@katz.pitt.edu

 

 

Individuals, corporations and governments constantly face the extremely complex problem of ordering and prioritizing their numerous decisions according to urgency and importance. Such ordering may be necessary to sequence and optimize how they are implemented over time and allocate scarce resources. Prioritization requires general and diverse economic, social, political, environmental, cultural and other criteria that reach beyond the familiar process of deciding on the best alternative in making a single decision. The decision about decisions is more difficult when the best choice for each particular decision is unknown and needs investing a large amount of time and resources to determine. There are three cases to consider. 1) The best alternative in each decision is known, 2) The best alternative in each decision is unknown, and 3) A combination of these two cases. What are the values and criteria that we need to use to prioritize decisions as the alternatives of a more general decision process? Decision-making often involves, among other things generating alternatives, setting priorities, choosing a best alternative, allocating resources, determining requirements, predicting outcomes, designing systems, optimizing performance, insuring the stability of a system, planning, and resolving conflicts. Corporations do not have the heterogeneous issues governments have, nor do they involve as much politics. However they are much more resource oriented than governments are.

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Keynote Speech

Why We Need AHP/ANP Instead of Utility Theory in Today’s Complex World

― AHP from the Perspective of Bounded Rationality

 

Eizo Kinoshita

Meijo University

4-3-3, Nijigaoka, Kani, Gifu 509-0261 Japan

kinoshit@urban.meijo-u.ac.jp

 

 

For Professor Thomas L. Saaty, with respect and admiration

 

This paper treats human decision making from the perspective of rationality, and defines a Utility Function and Utility Theory as an instrumentally rational decision making theory and AHP as a procedurally rational decision making theory. Then it is shown that, in practical decision making and the behavior of human being, it is more effective to use the AHP. The paper presents a partial interpretation of a lasting debate on the effectiveness of Utility Function and the AHP, a debate that does not seem to be ending anytime soon.

 

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Featured Speeches

Empowering Analytic Hierarchy Process by

Habitual Domains Concepts

 

P. L. Yu

Distinguished Chair Professor

Institute of Information Management

National Chiao Tung University

Rm. 710, 7th floor, Assembly Bldg 1,

No. 1001, Ta Hsueh Rd, Hsinchu 300, Taiwan

yupl@cc.nctu.edu.tw

 

 

Analytic Hierarchy Process (AHP and ANP) has provided efficient ways for people to rank the priority of criteria and alternatives in terms of numerical ordering. More importantly, it has been greatly accepted by exponentially increasing number of scholars and practitioners. This phenomenon has not occurred in traditional utility theory. Utilizing the concepts of habitual domains, we will try to explain why can this phenomenon occur and how to further empower AHP and ANP in theoretical and application arena as to solve practical and complex decision problems more effectively.


 

Dispersion of Group Judgments

Luis G. Vargas

(with Thomas L. Saaty)

 

 

The Joseph M. Katz Graduate School of Business

University of Pittsburgh

Pittsburgh, PA 1560

lgvargas@pitt.edu

 

To achieve a decision with which the group is satisfied, the group members must accept the judgments, and ultimately the priorities. This requires that (a) the judgments be homogeneous, and (b) the priorities of the individual group members be compatible with the group priorities. There are three levels in which the homogeneity of group preference needs to be considered: (1) for a single paired comparison (monogeneity), (2) for an entire matrix of paired comparisons (multigeneity), and (3) for a hierarchy or network (omnigeneity). In this paper we study monogeneity and the impact it has on group priorities.

 

 


Comparing AHP and Shiftwork Models:

Hierarchy Simplicity V/S Network Connectivity

 

Claudio Garuti, Mario Sandoval

Fulcrum Engineering Ltd.

Luis Thayer Ojeda 0180 Of.1004 – SantiagoChile

claudiogaruti@fulcrum.cl ; mariosandoval@fulcrum.cl

 

 

The Objective of this presentation, is to show a comparison of models and results between two different but complementary methods applied to the real Shiftwork problem. The first is an application of AHP in a very large problem (more than 400 terminal or cover criteria, and more than 500 overall criteria), this was a 18 months work with 22 different experts involved to build a Shiftwork Asset, that may be applied to almost any kind of shift in different type of work and enterprises. The second one is an extension, built after completeness of the first model. This time we used ANP instead of AHP, with a very good knowledge of the problem as an advantage, so we were able to synthesize the model, capturing almost all the existing interrelations. At the end, this paper has as a main objective to be able to compare the benefits and costs of both ways of doing the modeling process as well as to compare the final results obtained in both systems AHP & ANP.

 


 

Using AHP in Real Life Troubleshooting and Issues

 

Isabel Spencer

Fulcrum Engineering Ltd.

Santiago, Chile

 

 

AHP is a powerful method for decision making as many examples over the years show, for different type of problems, for different areas; used by consultants, university professors, business men and women.

 

But as all methodologies, might not be the best approach AHP in every single decision

making problem. Explicit axioms ask to validate if the real life problem fits these conditions before an application should be started.

 

Other side is how AHP is used. As many methodologies, it contains alternative approaches for given steps, and it is important during the problem solving planning step, to set this up. It might yield to unexpected results, that, with inappropriate knowledge of AHP, could be read simply as wrong AHP results.

 

This can be seen in several papers published with AHP “wrong results”.

 

This presentation is oriented to identify some of these key elements, make open questions and show alternate results. Questions related basic axioms are key ; is the first axiom a must? Is the reciprocal an unrealistic or hard condition? What about feedback handling? How can it be detected? What about comparing elements of too different size? Can axioms 2,3,4 be avoided?

 

Examples are built from real life experience as well as extracted form published papers.

 


 

Improved  “BOCR” Analysis With The AHP/ANP

 

Diederik J.D. Wijnmalen

TNO, P.O. Box 96864, NL-2509 JG The Hague, The Netherlands

wijnmalen@fel.tno.nl

 

 

This paper shows that the usual multiplicative synthesis of alternative priorities for benefits, opportunities, costs and risks, obtained from separate Analytic Hierarchy or Network models, can be ambiguous. The ratio of benefit and opportunity priorities to cost and risk priorities can be misleading when assessing the profitability of a project. The same holds for their additive synthesis, although advocated by AHP/ANP. A quotient of these priorities with weights as coefficients, not powers, will however produce sound results, provided that the four separate models are properly related to each other by weights that make the priorities on the four factors commensurate and are obtained from magnitude comparisons.

 


 

Chained and ANP Solutions – A Comparison

William C. Wedley

Faculty of Business Administration, Simon Fraser University

Burnaby, B. C. Canada

wedley@sfu.ca

 

 

Matrices of paired comparisons can be used to derive priority vectors that are later synthesized through hierarchical (AHP) or network (ANP) composition. In effect, these processes weight the priority vectors to produce a single vector that links the influences of all factors relevant to the decision. Rather than determining numerous priority vectors, weighting and synthesizing, an alternative approach is to chain the original comparison matrices into a much-enlarged matrix that creates a spanning tree across all influences. This broadened matrix can then be solved with Harker’s method for incomplete matrices. In this study, we compare the results of chained comparison matrices versus linked network vectors. A priori, we would expect the two methods to yield the same results.

 

 

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AHP Theory I:

Weights & Pairwise Comparisons (Session 1)

 

Session Chair: Claudio Garuti

 


Sensitivity Analysis of Estimated Weights under

Incomplete Information

 

Masanori Ozawa 

Keio University

Faculty of Science & Technology

3-14-1 Hiyoshi, Kohoku-ku

Hiroshima 223-8522, Japan

ozawa@ae.keio.ac.jp

 

Yutaka Kato

 

 

In this paper, we discuss the sensitivity analysis for performance of estimation methods under incomplete information in a comparison matrix. Since there are some no-information elements in the comparison matrix, estimated weights lack some reliability because of incomplete information. Harker's method and the least square method are known to be good methods to estimate weights under incomplete information in general. We show some properties of the estimated weights when no-information elements in a comparison matrix has a specific structure.


 

Questionnaire Design for Survey Research:

Employing Weighting Method

 

Yuji Sato

Graduate School of Policy Science,

Mie Chukyo University

1846, Kubo, Matsusaka,

Mie, 515-8511 Japan

ysatoh@mie-chukyo-u.ac.jp

 

 

In this paper, we propose an application of the Analytic Hierarchy Process to survey

research to overcome the deficiency of traditional questionnaire methods. The procedure of the AHP results in not only the identification of the most important alternative but also the preference of all alternatives for each respondent. Therefore, by applying the AHP to survey questionnaire, eliciting respondent's opinion more precisely than by traditional methods may be expected. This study showed that the weights derived from the AHP improved R2 in regression analysis, which had Feeling Scores as independent variables and respondent’s political slant as dependent variable.


 

Flow and Potential in Logarithmic Least Squares Estimation Of AHP

 

Masaaki Shinohara
Nihon University, Izumi-chou,

Narashino City, Chiba 275-8575, Japan

m7sinoha@cit.nihon-u.ac.jp

Keikichi Osawa
Nihon University, Izumi-chou,

Narashino City, Chiba 275-8575, Japan

K7oosawa@cit.nihon-u.ac.jp


Ken Shinohara
Institute of Information Systems,

Hikarigaoka, Nerima, Tokyo 179-0072, Japan

m7sinoha@cit.nihon-u.ac.jp


In the general theory of flow and potential, flow is induced by potential difference, and it is shown that pairwise comparison flow is also induced by priority weight potential difference in the logarithmic least squares estimation(LLSE) of node priority weight of a
pairwise comparison design graph. While in the electrical circuit network, Kirchhoff’s Current Law(KCL) holds on a cutset basis, Kirchhoff’s Voltage Law(KVL) holds on a tieset basis, and Ohm’s Law holds on a link basis, but in the LLSE of pairwise comparison design graph, the conservation law of pairwise comparison flow(KCL-like plus Ohm-like law) holds on a cutset basis. Using this law (or set of equations) systematically, topological formulae for the expression of priority weight potential are given for some design graphs.


 

A method to speedily pairwise compare in AHP and ANP

 

Kazutomo Nishizawa

Department of Mathematical Information Engineering,

College of Industrial Technology, Nihon University

1-2-1 Izumi-cho, Narashino, Chiba 275-8575, Japan

k7nisiza@cit.nihon-u.ac.jp

 

 

AHP (Analytic Hierarchy Process) and ANP (Analytic Network Process) are useful tool for decision makers. However, the amount of pairwise comparison becomes large with increasing the number of alternatives and criteria. Therefore, it takes much time and the loads of the decision maker increase. In AHP and ANP, it is important to pairwise compare carefully but to need speedily. This paper proposes a method to deal speedily with pairwise comparisons, and apply our method to AHP and 2- cluster ANP. In our method, we introduce three-level evaluation, scale values range from 0 to 2. At first, decision maker sets the standard in each criterion, and next, we evaluate alternatives and construct the matrix, called evaluation matrix. In AHP, based on evaluation matrix, we construct comparison matrix automatically and have each weight of alternative. In 2-cluster ANP, equivalent to AHP, we construct super matrix automatically and have each weight. The usefulness of our method was confirmed through some examples.

 


 

Studies on Values for Paired Comparison in AHP

 

Taki Kanda

Bunri University of Hospitality

Sayama, Saitama 350-1336

311-1 Kashiwabarashinden, Japan

kanda@bunri-c.ac.jp

 

 

The essence of AHP is paired comparison. There are many methods of paired

comparison which have been proposed - Thurstone’s method which was studied as

Psychophysical analysis and developed by Mosteller, Scheffe’s method and

Bradley’s method which are often used in sensory tests, Guttman’s method which

starts with paired comparison and end up solving eigenvalue problems as well as

AHP.. The values for paired comparison vary with method. Here it is studied that

order statistics are used for the values to give to the answers of paired comparison

with the aim of giving scales for evaluation of importance of criteria or alternatives

with respect to each criterion so that the units of the scales can be considered

standard deviations of the standard normal distribution ( sigma). The scales

obtained by using order statistics are convenient to compare the importance among

many alternative because the units are clear.

 


 

Economics and Planning I:
Technology and Industry (Session 2)

 

Session Chair: Isabel Spencer

 


Using ANP for Evaluating Value Position of Industrial Cluster Effect

 

Hsiao-Chi Chen

Institute of Management of Technology,

National Chiao Tung University,

1001, Ta-Hsueh Rd., Hsinchu 300, Taiwan

angela77.mt90g@nctu.edu.tw

 

Joseph Z. Shyu

 

 

This paper argues what the value position of cluster is. We address transaction cost and

network effect to define the value of industrial cluster. There are six critical resources from cluster, including venture capital, talent pool, universities and research institutes, support infrastructure, lead users, and entrepreneurial spirit. Therefore, ANP method is used to investigate the major value position of cluster for solving the relation to criteria. The companies of Hsinchu Science Park in Taiwan are illustrated to affect of cluster. The analysis leads to the conclusion that the transaction cost and innovation network effect link innovation activities to make cluster recycle. Among that, entrepreneurial spirit,

support infrastructure and talent pool are also the major value positions of the industrial cluster effect.


 

Development Strategies Of Pure Wafer Foundries Using AHP

 

Amy Mei-Chen Lo, Chun-Yen Chang, Gwo-Hshiung Tzeng, Fang-Mei Tseng

Institute of Technology Management, Institute of Electronics Engineering

National Chiao Tung University,

1001, University Road, Hsin-Chu 300, Taiwan

Kainan University, No. 1 Kainan Rd., Lu-jhu, Taoyuan 338, Taiwan

Department of International Business, Yuan Ze University,

135 Yuan-Tung RD., Chung-Li, Taoyuan 320, Taiwan

cyc@mail.nctu.edu.tw, ghtzeng@cc.nctu.edu.tw, mjlo.mt90g@nctu.edu.tw, fmtseg@saturn.yzu.edu.tw

 

 

The semiconductor dedicated foundry industry was first operated in 1987. The pure-play foundry in real production, in turn, fostered the booming fabless IC segment, as well as the burgeoning design services industry. This study adopted the empirical cases to analyze the important attributes for operating an efficient wafer foundry fabrication (Fab). The proposed approach uses an Analytic Hierarchy Process (AHP) to assign weights, enabling internal employees, varied groups and the leaders to identify generic process elements that are relevant to the current business flow.


 

THE UNKNOWN IN DECISION MAKING:

The Case of a Network

 

Müjgan Sağır Ozdemir

Osmangazi University Industrial Engineering Department,

Bademlik Eskişehir, 26030 Turkey

mujgano@ogu.edu.tr

 

 

Most of us have concerns when we make a decision about not having all the important factors included. Even if an alternative has a high priority relative to other alternatives that priority is questionable because there may be other criteria that need to be identified and used that can change the ranks obtained for the alternatives. We offer a way to include the objects of these concerns into decision problems. We compare the importance of the unknown with other factors. Pairwise comparisons make it possible to tackle this idea explicitly and rather simply. One condition is that the unknown does not have such a high priority that it indicates total ignorance. The idea is to determine the sensitivity of the outcome with respect to the unknown to see if it is stable.


 

USING AHP ON PATENT VALUATION

 

Yu-Jing Chiu

Department of Business Administration, Chung Yuan Christian University

200, Chung Pei Rd., Chung Li, Taiwan 32023.

yujing@cycu.edu.tw

 

Yuh-Wen Chen

Department of Industrial Engineering, Da-Yeh University

112 Shan-Jeau Rd., Da-Tsuen, Chang-Hwa, 51505, Taiwan

profchen@mail.dyu.edu.tw

 

 

 As the knowledge economics grows rapidly, the value of intangible assets is more emphasized in business nowadays. Intangible assets include intellectual capital and intellectual property. Intellectual property is often protected by patents, which are the claims for intellectual property. Since the enterprise is willing to pay the patent for the sustainable growth, we propose an objective scoring system, which is implemented by AHP, for patent valuation of enterprise.


 

Decision-making for Raw material Procurement

In Paper Making Factory

 

Majid Azizi

Natural Resources Faculty, University of Tehran

mazizi@ut.ac.ir

 

 

The aim of this article is to determine how to select raw material supply options for paper making factory. The decision-making is examined within the framework of benefits, opportunities, costs, and risks (BOCR). A hierarchy is used to prioritize the BOCR themselves are prioritized using the Analytic Hierarchy Process (AHP) ratings approach. A control hierarchy is then created and prioritized using the Analytic Network Process (ANP) to evaluate the “control criteria” of the system. There are a total of 19 control criteria in the system and each controls a decision network evaluated using the ANP. The final synthesis of the system shows external procurement is the best choice.


 

Research On Applying Analytic Hierarchy Process Approach To Technology Road-mapping

 

Chunyan Yang, Ming Yu

Dept. Industrial Engineering,

Tsinghua University, Beijing, 100084, China

yangcy98@mails.tsinghua.edu.cn

mingyu@tsinghua.edu.cn

 

Yedong Liao

Beijing Eastar Technology Co, Ltd.

liaoyedong@tsinghua.org.cn

 

 

Technology road-mapping is a tool for technology planning which has been caused more and more attention in both academic and industrial fields. In this paper, firstly, we summarize the technical problems emerging within technology road-mapping. Then, we demonstrate a methodology based on the Analytic Hierarchy Process (AHP) to address the decision making problems in evaluating technology alternatives in technology roadmap. Finally, we present a process which is easily implemental approach to technology road-mapping.

 


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Selection and Choice I:

Environment and Development (Session 3)

 

Session Chair: Anna Ostrega

 


Rural Water Supply And Sanitation In Developing Countries

 

Shashi Bhattarai

Integrated Consultants Nepal (ICON)

P O Box 3839, Baneswor Heights, Kathmandu, Nepal

shashi@icon.com.np

 

Markus Starkl

University of Natural Resources and Applied Life Sciences, Vienna

Department for Water, Atmosphere and Environment

markus.starkl@boku.ac.at

 

 

The appropriateness of the application of AHP in rural water supply and sanitation (RWSS) projects in developing countries, with the growing need for, and application of, Multi Criteria Analysis (MCA) techniques for integrated approach is discussed.

 

Two application scenarios are presented in the paper, taken from consulting assignments in Nepal, where the consultants used conventional methods. This paper has been prepared in order to raise awareness among the consulting community as well as RWSS planners and managers about the availability of the AHP tool as well as to demonstrate the power of the tool in planning, management, sustainability assessment and benchmarking of RWSS in developing countries.

 

The processes of social learning and decision-making increasingly demand an integrated approach to handle the information, which is generated, perhaps for planning and management of new projects, for sustainability assessment or for benchmarking of completed projects. Among various tools assessed, the AHP-based MCA tool is a promising one. The paper, with brief literature review, concludes with recommendations on further research, study and action required on the application of AHP for RWSS system analysis in developing countries.


 

Appropriateness Of A Multi-Criteria Rating Model:

The Case of Establishing Rescue Policies For Regional Drinking Water Companies (PDAM) In Indonesia

 

Kirti Peniwati

PPM Graduate School of Management

Jl. Menteng Raya 9, Jakarta 10340, Indonesia

kirti@indo.net.id

 

Werner Brenner

The Indonesian Association of Water Companies (PERPAMSI)

Jl. Penjernihan II/27B, Pejompongan, Jakarta, Indonesia

wbrenner@dnet.net.id

 

 

Fresh water is in abundance in Indonesia, but it has not been evenly distributed within the country. Only about 20% out of more than 200 millions of Indonesian population have access to clean water supplied by the 306 Regional Drinking Water Companies (PDAMs). The poor performance of most PDAMs is due to high level of debt, lack of investment, and inefficient operations. On one hand, the PDAMs need to increase its coverage capacity but on the other hand they have been operating under unfavorable regulated tariff policies. Indonesia’s Water Enterprise Association (PERPAMSI) has been participating in a task force to propose financial policies to rescue the industry by rating and grouping the PDAMs using a multi-criteria framework. This paper proposes improvements to the model by maintaining the original priority judgments. Model-1 is the AHP representation of the original model, Model-2 is similar to Model-1 with the principle of hierarchic composition is satisfied, and Model-3 is a framework for multi-decisions decision making by clustering the PDAMs based on their business performance. Model-2 does not improve its usefulness for identifying specific group policies that fit the need of every PDAM in a given group. Model-3 enables one to identify a specific policy applicable for either the whole PDAMs or those grouped in a certain cluster, and rate the PDAMs based on a set of criteria that is relevant to that policy. The results of the three models are evaluated and some examples of using Model-3 framework to rate the PDAMs, each with a specific policy in mind, are provided.


 

Rural Development Decision Support Using

Analytic Hierarchy Process

 

Astrid Oddershede, Arnoldo Arias, Hugo Cancino

Industrial Engineering Department

Universidad de Santiago de Chile, Chile

aoddersh@lauca.usach.cl

 

 

This paper presents a decision model based upon community preferences to hierachise activities that support the development of a rural area in Chile. Local government of the region has tried to stimulate economic development for many years without success. The goals surrounding incentive programs offered are complex and conflicting. Often inconsistencies exist between community preferences, incentive programs, and stated goal. Measuring preferences is difficult and represents a form of multi-attribute decision-making. The Analytical Hierarchy Process (AHP), developed by Thomas L. Saaty, allows designing a hierarchical structure and weighing the trade-offs between decision criteria and alternatives to facilitate prioritization of activities to carry out to attain the desired district growth.

 


 

Selecting an appropriate forestry extension model for the Zagros area in Iran through AHP

 

Davood Samari, Ali R. Estelaji, Majid Azizi, Gholam H. Salehnasab

Azad University, Varamin, Iran

Tehran University, Iran

drsamari@yahoo.com

 

 

As far as scientific and managerial activities are concerned, it has been always a major challenge to select one best among a number of choices. This important trend has, over the course of time, resulted in the emergence of a variety of effective techniques for selecting one item, from among many choices, as the best of all. Regarding the need for selecting the most appropriate approach to forestry extension in zagros area, we found it inevitable in our study to employ some specific techniques that would help us make the befitting decision. This article is, accordingly, an attempt to show that how the analytical hierarchy process (AHP), as a multi-criteria decision-making techniques, can be effectively helpful in selecting on appropriate model for forestry extension.


 

Applying The Analytic Hierarchy Process In The Revitalization Of Post-mining Areas Field

 

Ryszard Uberman

Anna Ostręga

AGH University of Science and Technology

Faculty of Mining and Geo-engineering

Department of Opencast Mining

Mickiewicza Avenue 30, pav. A4, office 218

30-059 Kraków

uberman@agh.edu.pl

ostrega@agh.edu.pl

 

 

An application of the AHP in the methodology of designing the revitalization of post-mining regions has been presented in this article. A hierarchy of factors and the best ways for the regeneration of exploited region were established by experts. There were two groups of experts: the first one included experts related to the revitalized region, while the second one was made up of independent representatives from scientific institutions. Separate results from both groups of experts and the collective results of the judgments are shown in the paper.

 


 

____________________________________________________________________

 

AHP Application (Session 4)

 

Session Chair: Kirti Peniwati

(or alternate Asri Nugrahanti)

 

 

An Effective Approach to Infrastructure Reconstruction Of Devastated Countries

 

K. A. Nigim

Department of Electrical and Computer Engineering,

University of Waterloo, Waterloo, Ontario, Canada

knigim@ece.uwaterloo.ca

 

K. W. Hipel

Department of Systems Design Engineering,

University of Waterloo, Waterloo, Ontario, Canada

kwhipel@engmail.uwaterloo.ca

 

G. B. Smith

International Business Development, Mesa, Arizona, USA

gbsmithaz@cox.net

 

Various infrastructure segments of numerous countries have been repeatedly subjected to natural or human-induced disasters. International aid institutions and financial institutions are trying to assist in the reconstruction of devastated countries. The development institutions normally face the problem of selecting and implementing relevant priority infrastructure projects that are needed in various sectors. Additionally, there are several local key players in the decision making process. In many cases, the decisions of these main decision makers often have contradictory objectives that lead to conflict and thereby hamper the reconstruction process. In response to this kind of problem, an effective approach has been developed within the field of Multiple Criteria Decision Analysis (MCDA), referred to as the Analytical Hierarchy Process (AHP), to assist decision makers in prioritizing projects to meet specified goals and objectives. Using the AHP approach, the problem of selecting infrastructure projects is dealt with systematically when applying this flexible MCDA technique. This approach takes into account possible uncertainties, social discrepancies and the potential lack of technical or historical data necessary to select effectively and prioritize projects. Decision makers from international  financing aid institutions, donor agencies, local governmental planning and community representatives can utilize this proposed approach.


 

Using FAHP To Evaluate Non-Store Retailing Channel Alternatives

 

Mei-Fang Chen

Department of Business Management, Tatung University

40, Chung-Shan North Road, Sec. 3, Taipei, Taiwan

mfchen@ttu.edu.tw

 

 

Past studies pointed to the fact that consumers associate a higher level of risk with non-store shopping than in-store shopping. However, with the advent of the information technology and e-commerce, shoppers are now increasingly likely to shop across multiple channels. Multi-channel integration continues to be a focus and will be a key factor driving growth onward. This paper describes the Fuzzy Analytic Hierarchical Process (FAHP) to determine the weights of the perceived benefits and risks of various non-store retailing channels in a Fuzzy Multiple Criteria Decision-Making (FMCDM) environment and then to evaluate the performance of those alternatives. We find that the importance of non-store retailing channel decision-making main-dimension can be ranked in the sequence of price, merchandise, information service, purchasing atmosphere, convenience, and perceived risks. Consequently, the ranking order of the synthetic performance values of the non-store retailing channels obtained in this case is online shopping, TV home shopping, catalog shopping, newspaper shopping, and broadcasting shopping.

 

 


 

Fuzzy AHP With MCDA To Construct The Roadmap of R&D Consortia In Taiwan’s M&S Enterprises

 

Hua-Kai Chiou

Institute of Management of Technology, National Chiao Tung University;

Department of Statistics, National Defense University

P.O. Box 90046-15 Chungho Taipei 235, Taiwan

hkchiou@ebtnet.net

 
Chia-Chin Wan

Kainan University,

No.1 Kainan Rd., Luchu, Taoyuan 338, Taiwan

wancc@mail.knu.edu.tw

 

Gwo-Hshiung Tzeng

Distinguished Chair Professor.

Department of Business Administration, Kainan University;

Institute of Management of Technology, National Chiao Tung University.

No.1 Kainan Rd., Luchu, Taoyuan 338, Taiwan

ghtzeng@cc.nctu.edu.tw

 

 

While entering WTO, Taiwan has become one of the members in the international community of globalization. The medium & small enterprises (M&SE), which accounts for 98 % of Taiwan industries facing even more competition due to insufficient capital, human resources, and limited organization scale. To achieve competitive edges for the globalization requires efficiency in doing business and scale in industry development, M&SE should aggressively develop technical capabilities and synergy form strategic R&D consortia to effectively consolidate resources. In this study we established a  hierarchical frame for evaluating the utility of R&D consortia. As a result, it comes up with five levels of structure and twenty evaluating principles for forming R&D consortia. Analysis Hierarchy Process (AHP) was applied to determine the weights of considered criteria. We also employed Fuzzy Multi-Criteria Data Analysis (Fuzzy MCDA) to derive the utility of each strategy. Finally, we summarized some findings of this study and provided some suggestions for development direction of M&S enterprise in near future.

 


 

A Restaurant Planning Model Based on Fuzzy-AHP Method

 

Heung Suk Hwang

Department of Business Administration, Kainan University, Taiwan

No. 1 Kainan Rd., Lu-jhu, Taoyuan, Taiwan 338

hshwang@mail.knu.edu.tw

 

Wen-Hwa Ko

Department of Business Tourism and Hospitality Management,

Kainan University, Taiwan

No. 1 Kainan Rd., Lu-jhu, Taoyuan, Taiwan 338

kowh@mail.knu.edu.tw

 

 

Recently, a new method of optimizing the restaurant planning for the decision of restaurant types, the locations and food service system. The multi-criteria decision analysis is one of the evident areas of important points in integrated planning of the restaurant service system. This research is concerned with the development of a 3-step restaurant planning based on service level, multi-criteria decision analysis, and stochastic set-covering method. Following three researches are included;; 1) optimal decision of restaurant types using analytic hierarchy process and fuzzy-AHP as a multi-criteria decision analysis method, 2) determine the optimal number of restaurant and those locations with minimum customers travel distance using set-covering problem, and 3) these procedures are shown on visual outputs by a computer program. The computer program is developed and demonstrated the computational results for school food service facility of Taoyuan area in Taiwan. It is known that the proposed method is very effective on a set of test problems.

 


 

Fuzzy Multi-Criteria Decision-Making for Evaluating the Performance of Mutual Funds

 

Shin-Yun Wang

Department of International Trade,

Chung Kuo Institute of Technology, Taiwan

grace.ms90g@nctu.edu.tw

 

Cheng-Few Lee

Department of Finance, Rutgers University,

New Brunswick, NJ, USA

 

Gwo-Hshiung Tzeng

Institute of Management of Technology,

National Chiao Tung University

 

 

This paper describes a fuzzy hierarchical analytic approach to determine the weighting of subjective judgments. In addition, it presents a non-additive fuzzy integral technique to evaluate a mutual fund case as a fuzzy multi-criteria decision-making (FMCDM) problem. When the investment strategies are evaluated from various aspects, such as market timing, stock selection ability, fund size and team work, it can be regarded as an FMCDM problem. Since investors can not clearly estimate each considered criterion in terms of numerical values for the anticipated alternatives/strategies, fuzziness is considered to be applicable. Consequently, this paper uses triangular fuzzy numbers to establish weights and anticipated achievement values. By ranking fuzzy weights and fuzzy synthetic performance values, we can determine the relative importance of criteria and decide the best strategies. This paper applies what is called a λ fuzzy measure and non-additive fuzzy integral technique to evaluate aquatic investment. In addition, we demonstrate that the non-additive fuzzy integral is an effective evaluation and appears to be appropriate, especially when the criteria are not independent.

 

 

____________________________________________________________________

Economics and Planning II:

Financial Risk Management

 

Session 5

 

Session Chair: Bill Wedley


 

Enhancement Of Financial Risk Management With The Aid Of Analytic Hierarchy Process

 

Jerzy Michnik

Kainan University, No.1, Kainan Rd., Luchu, Taoyuan,338, Taiwan

The K. Adamiecki University of Economics in Katowice,

ul. 1 Maja 15, 40-287 Katowice, Poland

jmichnik@ae.katowice.pl

 

Mei-Chen Lo

Institute of Technology Management, National Chiao Tung University

1001, University Road, Hsin-Chu 300, Taiwan

mjlo.mt90g@nctu.edu.tw

 

 

Rapid growth in financial markets, increasing volatility and globalization are the main reasons of growing importance of financial risk management (FRM) which nowadays becomes a serious matter not only for financial institution. Several risks, possible targets and measures of each dimension of risk, several types of tools and techniques come together to form the FRM. This is the reason why this is a complicated, multi-step and multidimensional process. This study aims at the four aspects of FRM: measuring, monitoring, controlling and policy to determine the participant cognition of relative importance (weight). The AHP approach is proposed to determine the relative importance of different aspects of FRM and to enhance the performance of the FRM.

 


 

The Securities Portfolio Modeling For Emerging Markets

 

Tihomir Hunjak, Marijan Cingula

Faculty of Organization and Informatics Varazdin

Pavlinska 2, 42000 Varazdin

tihomir.hunjak@foi.hr, marijan.cingula@foi.hr

 

 

Summary: The most significant differences at emerging markets, according to the other types of capital markets, include volatility, lack of regulation, and lack of liquidity. Thus, portfolio building is usually not result of standard techniques and procedures such as technical or fundamental analysis. Besides, the use of insider’s information for trading at emerging markets is not always controlled and sanctioned as it is expected in other democratic countries, which have decades or even centuries of trading tradition. Corporate governance in transition countries formally follows the OECD Principles, but the implementation of ethical rules is still about starting point in many companies listed on local stock exchanges. International investors, who are crucial for economic development in countries with emerging markets, need more reliable environment for their decisions, so they should welcome establishing the multi-criteria model for building their portfolios.

 


 

Evaluation Of The Economic Policy About The Aichi Exposition 2005 From The Viewpoint Of Corporate Strategy

 

Kazuyoshi Yonemoto

Management Planning Division, Kawamura Electoric.Inc.

3-86 Akatsuki-cho,Seto, Aichi 489-0071-Japan

ka-yonemoto@kawamura.co.jp

 

Toshimasa Ozaki

Faculty of Commerce, Nagoya Gakuin University

1350 Kamishinano-chyo,Seto Aichi 480-1298-Japan

ozaki@ngu.ac.jp

 

 

It is difficult to give a rational basis the "Aichi Exposition 2005". As one of the methods which aim at people's agreement formation to the strategic event, a multiple-purpose evaluation method seems to be possible to evaluate from the viewpoint of corporate strategy. This paper describes the rationality of the venues of the "Aichi Exposition 2005" by using the AHP from the theory of corporate strategy. The criteria were extracted from the viewpoint of the corporate strategy, alternative was each heartland region of eight an economic block as for the Japanese whole country, and the priority was evaluated by the absolute measurements method. Moreover the AHP was attempted to extend to the ANP,

then the results showed that eigenvalue method is superior to Super Matrix method in the diagonal matrix to all one. At the end of the paper it was pointed out that Aichi led to the best for the venue and the economic policy needed to change.

 


 

Analytic Network Process Model For Highway Corridor Planning

 

Mongkut Piantanakulchai, Ph.D.

Sirindhorn International Institute of Technology

Thammasat University, Rangsit Campus

Patumthani 12121, Thailand

mongkutp@gmail.com

 

 

The planning of highway alignment is a complex decision making that involves many

objectives and stakeholders. Previous studies applied the Analytic Hierarchy Process (AHP) to prioritize the alternatives of highway alignments. Standard AHP model could not accommodate the variety of interactions, dependencies, and feedback. The Analytic Network Process (ANP) is helpful to deal with interdependent relationship within the multi-objectives and multi-stakeholders environment. This paper demonstrates how to empirically prioritize a set of alternatives by using ANP model. The paper first reviews the planning issues related to the highway corridor planning. Then related characteristics were used to structure the ANP model and scores were computed for prioritizing the potential highway alignments. Engineering practitioners may adopt the weighted criteria for alignment selection or apply the ANP method to prioritize their own set of selection criteria.

 

 

An AHP Application In Vendor Selection

 

Ozden Bayazit

Department of Business Administration, College of Business

Central Washington University, 20000

68th Avenue W. Lynwood WA 98036 USA

Tel:+1-425-640 1574, Fax: +1-425-640 1488

bayazito@cwu.edu

 

Birsen Karpak

Department of Management, Youngstown State University

Youngstown, OH 44555 USA

Tel:+1-330-941 1892, Fax: +1-330-941 1459

bkarpak@ysu.edu

 

 

Supplier selection is one of the most crucial activities performed by the organizations because of its strategic importance. A supplier selection problem is a multi-objective problem involving both quantitative and qualitative criteria. Over the years a number of quantitative approaches have been applied to supplier selection problems. Although the Analytic Hierarchy Process (AHP) has previously been implemented in supplier selection problems, in this paper for the first time a comprehensive application of AHP for a real-world case is presented along with sensitivity analysis to choose the best supplier. We proposed an AHP model to choose the best supplier and place the order quantities among them for a construction company.

 

 

 


 

______________________________________________________________

 

Selection and Choice II:

Management and Performance (Session 6)

 

 

Session Chair: Rafikul Islam

 

 


 

Function of Motivation in the Management Process in AHP’s Approach

 

Wiktor Adamus

Institute of Economics and Management

Jagiellonian University

Krakow, Poland

adamus@uj.edu.pl

 

In the management process each organization has human, financial, material, technological and information resources at its disposal. All of them are necessary for the rational functioning of the organization, but people are the most important capital of each company. They constitute its most precious potential on which the existence and development of each organization depends. Managers of companies carry out numerous activities aimed at achieving the best results thanks to using human intellectual potential. The basis for understanding another person involves getting acquainted with his/her system of values, the ability to awaken in the employees the readiness to undertake a particular action and provoking some additional intellectual and physical effort exceeding its currently displayed level, as well as the skills and abilities helping to achieve the aims of the organization. In the management process motivation is considered as the most important and most difficult function. No other functions in management, such as planning, decision taking, organization or supervision has been discussed so widely in literature as the motivation function (more than 5,000 publications).

 

For the purpose of this paper motivation has been defined as a human psychological mechanism, which consciously or unconsciously balances the set of different needs, aims, tasks and values directed at achieving, through various actions of man, objective or subjective satisfaction. The objective of this paper is a new approach to the motivation function aided by AHP, within the category of certain uniformity, in the form of one multi-criteria model consisting of various theories and approaches, motivation models and the author’s own considerations. This model differs considerably from the hither-to existing theories and models, since it has been constructed in the form of a hierarchical tree on top of which the main aim was set forth, namely the employees’ satisfaction with their work and the increase of effectiveness of their actions, while on the lower levels criteria, subcriteria and alternative motivating activities are placed. In this model, the importance of each motivating factor and motivating variant is determined through their mutual comparison according to T.L. Saaty’s fundamental scale and by ascribing priorities to them.

 

 

A Strategic Model for Performing Pilgrimage Safely:

An Application of The Analytic Network Process

 

Asma Bahurmoz

King Abdulaziz University,

P.O. Box 9550Jeddah, 21423, Saudi Arabia

bahurmoz@kau.edu.sa

 

 

Saudi Arabia receives every year more than two million Muslims from all over the world to perform Alhaj (Pilgrimage) during a specific period of the year in a specific and limited space. In spite of the effort the government agencies devote for this event, several and variety of disasters took place. As numbers of pilgrims is increasing by the year the problem becomes an alarming one. More and more resources are allocated to eliminate the occurrences of such disasters. More than one strategy has been proposed in order to achieve Alhaj safely. The question is which alternative is best, knowing that the problem is very complex, it involves many actors, and many entangled criteria and elements. This paper presents The Analytic Network Process as a sound methodology to structure Alhaj problem and disentangle its complexity.

 


 

Employee Performance Evaluation By AHP: A Case Study

 

Rafikul Islam

Department of Business Administration

International Islamic University Malaysia

53100 Kuala Lumpur, Malaysia

rislam@iiu.edu.my

 

Shuib bin Mohd Rasad

Inter System Maintenance Services S/B

Taman Keramat, Kuala Lumpur, Malaysia

shuib_ism@yahoo.com

 

 

Employee performance evaluation is designed to assess each individual’s contribution to the organization. The performance of individuals against organizational goals determines whether the organization meets its goals. The basic objectives of performance evaluations are two-fold: firstly to reward employees for meeting organizational objectives and secondly to identify which objectives are not met and to develop action plans to ensure they are achieved in future. The present paper uses analytic hierarchy process (AHP) to evaluate employees performances based upon the criteria: quantity/quality of the work, planning/organization, initiative/commitment, teamwork/cooperation, communication and external factors. Each of these criteria has been divided into 3 subcriteria. Two hundred and ninety-four employees of Inter System Maintenance Services Sdn. Bhd. are evaluated on these subcriteria. Overall ranking of the employees has been obtained using the absolute measurement procedure of AHP.

 

 

 

A Multi-Objective Faculty-Course-Time Slot Assignment Problem with Preferences

 

Nergiz Ismayilova

Industrial Engineering Dept.

Osmangazi University, Bademlik

Ekisehir, Turkey

n.ismail@ogu.edu.tr

 

Mujgan Sagi Ozdemir

Osmangazi University, Bademlik

Ekisehir, Turkey

mujgano@ogu.edu.tr

 

 Rafail N. Gasimov

Engineering and Architecture Faculty

Osmangazi University

Eskisehir, Turkey

gasimovr@ogu.edu.tr

 

 

A faculty-course-time slot assignment problem is studied. The difficulty of such problems lays on the fact that, the individuals taking part in the problem may have different preferences related to the instructors, courses and time slots. The 0-1 linear multiobjective model considering both the administration’s and instructors’ preferences is developed for this problem. A real life application is included. Analytic Hierarchy Process is used to weigh different and conflicting objectives. These weights are used in different scalarization approaches. The scalarized problems are solved using standard optimization packages.


Singular Value Decomposition VS Duality Approach In AHP:

Time And Rank Comparisons In Faculty Member Selection

 

Nur Jumaadzan Zaleha Mamat, Jacob K. Daniel

Faculty of Information Technology, Multimedia University,

63100 Cyberjaya, Selangor Darul Ehsan, Malaysia

zaleha@mmu.edu.my , jacob.daniel@mmu.edu.my

 

 

Using Saaty’s original AHP, faculty member selection committee faces great challenges when the number of candidates is large. Two methods, singular value decomposition (SVD) in AHP and the duality approach to reduce the number of pairwise comparisons are studied and compared in terms of time complexity and overall rank result. Experiments showed that the SVD is preferred over the duality in AHP.

 


______________________________________________________________

 

Socio-Economic Decision Making

 

Session 7

 

 

Session Chair: Asma Bahurmoz

 


 

Using ANP in the Non-Profit Sector: Selecting a Congress Site and Predicting Conference Attendance

 

Enrique Mu

University of Pittsburgh

enmu@katz.pitt.edu

 

 

Non-profit organizations operate with more tight budgets and restrictions than their private counterparts. There is always a risk that a wrong decision may have catastrophic effects for the organization. Also, decisions made by non-profit managers tend to be highly scrutinized by their constituents in terms of consistency with the organizational mission, objectives, etc. This creates the need for managers, to use a methodology that not only assists in their decision-making process but that also allows them to explain the decision criteria to the organizational stakeholders. This paper reports an on-going application of the Analytic Network Process (ANP) in the context of one such organization: The Latin American Studies Association (LASA). LASA organizes a large international conference every eighteen months and need to estimate conference attendance in advance (for logistic purposes) as well as selecting a Latin American city where the combination of hotel infrastructure, conference costs, and so on, makes it a sound financial choice.

 

In this paper, ANP will be used to first, create a model to predict the relative number of attendees to the forthcoming 2009 LASA international conference; and second, to create a Benefit-Cost-Risk (BCR) model that will provide a framework to select the most suitable Latin American city as the conference site. This paper shows how the combination of these two ANP models, for prediction and selection, can be used together for effective decision-making in the non-profit sector. From a practical point of view, these two models will allow LASA top managers, to select a conference site for their forthcoming March 2009 International LASA congress in a rational, consistent way, based on both the expected number of attendees and organizational objectives. Also, using ANP methodology, LASA managers will be able to explain to interested constituents, the criteria used in the selection process.

 

 

An Integrated Forecasting Approach for Hotels

 

Sedat Yüksel

Gazi University,

Commerce and Tourism Education Faculty,

Gölbaşı, Ankara, 06830, Turkey

seyuksel@gazi.edu.tr

 

 

It was aimed to search to be able to forecast the crises which arise from demand

fluctuations, and to able to generate a systematic and dynamic process in the hotel businesses. In the quantitative period, forecasting was realized to 149 monthly series of a five star hotel in Ankara via MA, Simple, Holt's, Winter's Exponential Smoothing and ARIMA. The results of these methods were compared by some error measures. At the other side of integration, two Delphi based inquiry panels were realized: The Variables Determination Panel and The Environmental Monitoring Panel. The opinions of second group panelists were used to adjust Winter's Multiplicative forecasts via AHP based approach. This process shows that, if the forecasting and adjustment process is applied to hotels monthly, it will be useful for crises arising from demand fluctuations in hotel business. The most important characteristic of model is being elasticity for change and development.

 

 

 


 

A Multi-Agent Decision Support Method for Selecting a Way to Dispose of Kitchen Garbage in Condominium

 

Shinichi Fujita

Environmental Pollution Control Center of Osaka Prefectural Government

1-3-62 Nakamichi, Higashinari-Ku, Osaka 537-0025, Japan

FujitaS@mbox.pref.osaka.jp

 

Hiroyuki Tamura

Faculty of Engineering, Kansai University

3-3-35 Yamate-cho, Suita, Osaka 564-8680, Japan

H.Tamura@kansai-u.ac.jp

 

 

In this paper, a Life Cycle Management (LCM) for the residents for selecting the way of disposing domestic kitchen garbage is proposed. The alternative ways to dispose the kitchen garbage are evaluated based on the items related to the global environmental problems, comfort of the life and cost. The model of descriptive extension of Analytic Hierarchy Process is used for the multi-agent decision making process in the case of reconstruction of a condominium. In this paper, in order to adjust the preferences of multi-agent, a method based on the Delphi questionnaire is applied.

 

 


 

Selection of a Layout Configuration for Reconfigurable Manufacturing Systems Using the AHP

 

 

M. Reza Abdi

Bradford University School of Management

Emm Lane, Brdford , BD9 4JL, U.K.

r.abdi@bradford.ac.uk

 

 

Reconfigurable Manufacturing Systems (RMSs) are designed to rapidly respond to changing market requirements. RMSs operate on various products grouped into families according to their operational requirements. Therefore, an RMS may require different layout configurations while switching from one product to the other. This paper investigates the criteria, which can influence on choosing layout configurations. It then develops an AHP model to structure the criteria for the selection of the most appropriate layout for each configuration stage. The criteria are defined based on the layout reconfigurability, cost, quality and reliability. The alternatives are identified based on the serial / parallel configurations of the given machines.


 

 

ANP: A Survery of Urban and Regional Planning Applications

 

Reza Banai

rbanai@memphis.edu

     

Compared to periodic literature surveys of applications of AHP, there is a paucity of reviews of development applications of ANP. This paper provides a survey of recent developments of ANP with reference to applications in the realm of urban and regional planning.


 

______________________________________________________________

 

Economics and Planning III:

Enterprise Architectures and Strategic Decision Making (Session 8)

 

Session Chair: Tom Feglar

 


ERP Selection Using Expert Choice Software

 

Oyku Alanbay

Istanbul Bilgi University

Kurtulusderesi Cad No:47

Dolapdere, Istanbul 34440 TURKEY

oykua@cs.bilgi.edu.tr

 

 

Usage of enterprise applications is becoming widespread every day and Enterprise Resource Planning (ERP) systems are among these applications. ERPs are preferred because of their organization-wide information sharing capability, component-based structure and capability to be integrated with other systems. Choosing which ERP to use is a complex decision that has significant economic consequences, thus it requires a multi-criterion approach. Analytic hierarchy process (AHP) is a method widely used for this kind of complex decision-making problems. In this paper, a multi-attribute ERP selection decision model is introduced, based on the AHP methodology. The model is illustrated with an example and managerial implications are discussed. Based on the AHP, Expert Choice (EC) is a decision support software that reduces complex decisions to a series of pair wise comparisons and then synthesizing the results. In this study, EC is used to perform the ERP selection procedure, provided the objectives and criteria.

 


 

Applying the Analytic Hierarchy Process (AHP) to Build a Strategic Framework for Technology Road-mapping

 

 

Nathasit Gerdsri, Dundar F. Kocaoglu

Department of Engineering and Technology Management

Maseeh College of Engineering and Computer Science

Portland State University, Portland, OR 97201

nathasitg@etm.pdx.edu, kocaoglu@etm.pdx.edu

 

 

The development of a new concept called Technology Development Envelope (TDE) is presented in this paper. The TDE is developed to transform the technology roadmapping approach to the level in which it is dynamic, flexible, and operationalizable. This new approach provides an effective way to help organizations to overcome the challenge of keeping a roadmap alive. The paper emphasizes how the AHP is applied as a part of the TDE framework.

 


A Study On The Utilization of Compatibility Metric In The AHP: Applying To Software Process Assessments

 

Min-Suk Yoon

Yosu National University

San 96-1 Dundeok-dong Yeosu City

Jeonnam, Korea, 550-749

msyoon@yosu.ac.kr

 

Ho-Won Jung

Korea University

5-1 Anam-dong Sungbuk-gu

Seoul, Korea, 136-701

hwjung@korea.ac.kr

 

 

This study intends to extend the applicability of the Analytic Hierarchy Process (AHP) to software process assessments. Recently an AHP approach has been successfully applied to software process assessments especially with regard to boundary problems, ambiguities between two adjacent ratings. Boundary problems may cause a problem in the process of inter-rater agreement for a process attribute rating among assessors. However, the approach assumes that the assessors reach a consensus for priorities of the associated practices. When assessors cannot reach a priority consensus, a more systematic method is required to make a consensus among those assessors having different sets of priorities. In order to solve this problem, this study proposes a consolidating method among conflicting assessors using compatibility metric of the AHP, and shows its application steps.

 

 


 

Measuring Efficiency of Production Units by AHP Models

 

Josef Jablonsky

Department of Econometrics, University of Economics

Praha, 130 67 Czech Republic

jablon@vse.cz, URL: http://nb.vse.cz/~jablon/

 

 

The paper deals with models and methods for evaluation of efficiency of production units. The standard modeling approach for evaluation of efficiency is data envelopment analysis (DEA) based on the definition of efficiency as the ratio of outputs produced by the unit and inputs spent in the production process. Standard data envelopment analysis models divide the units into inefficient and efficient ones. The efficient units receive the efficiency score 100% by standard DEA models and can be further classified by so called super-efficiency DEA models. The paper discusses the possibility of using the AHP model with interval pairwise comparisons for evaluation and classification of efficient units and compares given1results with super-efficiency DEA scores. The proposed approach is applied in assessing the efficiency of pension funds in the Czech Republic – the results given by super-efficiency DEA models and by the interval AHP model are compared and discussed.

 


 

Analysis of Network Economy by ANP/DNP

 

Petr Fiala

Department of Econometrics, University of Economics

Praha, 130 67, Czech Republic

pfiala@vse.cz

 

 

The network economy is a term for today’s global relationship among economic subjects characterized by massive connectivity. The central act of the new era is to connect everything to everything in deep web networks at many levels of mutually interdependent relations, where resources and activities are shared, markets are enlarged and costs and risk are reduced. Network systems contain both positive and negative feedbacks. A variety of feedback processes create complex system behavior. For the whole network seems to be very appropriate Analytic Network Process (ANP) approach. The ANP method makes possible to deal systematically with all kinds of dependence and feedback in the system. Dynamic models try to reflect changes in real or simulated time and take into account that the network model components are constantly evolving. Dynamic models use concepts of state variables, flows, and feedback processes. Dynamic Network process (DNP) as an extension of ANP can deal with time dependent priorities in network economy.

 


______________________________________________________________

 

AHP Case Studies (Session 9)

 

Session Chair: Yuji Sato

 


 

The Study of an Optimum On-Off Schedule of a Heat Source for an Air Conditioning System by AHP

 

Seiji Usui, Fusachika Miyasaka, Takeshi Kanao, Satoru Shibamoto

Data Ware Center

Yamatake Building Systems Co., Ltd.

4-3-4, Shibaura, Minato-ku, Tokyo 108-0023 JAPAN

{usui-seiji, miyasaka-fusachika, kanao-takeshi, shibamoto-satoru}@ybs.yamatake.co.jp

 

Eizo Kinoshita

Faculty of Urban Science, Meijo University

4-3-3, Nijigaoka, Kani, GIFU 509-0261 JAPAN

kinoshit@urban.meijo-u.ac.jp

 

 

Generally, there are hot and chilled water generators, heat pumps, boilers and cogeneration machines, etc as energy facilities for building air conditioning systems. In this paper, we use air conditioning loads, energy cost and carbon emission as operational criteria of these facilities. And, this paper proposes AHP method for the choice of the optimum on-off states of energy facilities in each time step.

 


 

Solving a Distribution Facility Location Problem using an Analytic Hierarchy Process Approach

 

Jesuk Ko

Dept. of Industrial & Information

Gwangju University, Korea

jko@gwangju.ac.kr

 

 

This paper deals with an integrated decision model for determining the location of the distribution facilities. As aids in making distribution location decisions, use of decision factor analysis and the analytic hierarchy process is proposed. The location decision model includes a structured criterion set having 20 criteria represented by a two-level hierarchical structure. For this study, a questionnaire was developed with regard to location criteria and given to 180 managers in the distribution arena asking their opinions about the locations of the distribution facilities. The survey results were analyzed based on the location selection criteria. This application of the location decision model to real-world cases, including the recommendation of new distribution facility locations, demonstrates the practical applicability of the research findings.

 


 

A Multi-Criteria Decision Model For Turkish Soft Drink Industry

 

Sebnem Burnaz, Y. Ilker Topcu

Istanbul Technical University, Management Faculty

ITU Isletme Fakultesi,

Macka 34367, Istanbul, TURKEY

ilker.topcu@itu.edu.tr

 

 

This research is based on quantifying consumer preference in soft drink industry for a cola brand by using an integrated multi-criteria decision aid approach. The analytic network process model is used to conduct a comprehensive evaluation of the problem on hand. In accordance with the sequence of decision making process, after structuring the problem and constructing the decision model, a quantitative analysis is conducted in order to assess the importance of the related factors and predict the market shares of the key players in the industry. Predicted values are compared with actual ones for validation of the whole process. The assessed importance of the factors, in a valid model, would be a potential competitive advantage for the key players in the industry.

 


 

An AHP-based Decision Conference for Restructuring the Turkish Vocational Education System

 

Nilgun Turan Y.

Arama Participatory Management Consulting,

Kanlıca 34610, Istanbul, TURKEY

 

 

Ilker Topcu

Istanbul Technical University, Management Faculty,

Macka 34367, Istanbul TURKEY

ilker.topcu@itu.edu.tr

 

Vocational education system in Turkey is very outdated and is not aligned to the needs of the labor market. This paper exhibits the details of an AHP-based decision conference which is a major stage of a participatory decision support process held to recommend a proposal to the governmental authorities for restructuring the vocational education system. The process was sponsored by TUSIAD (Turkish Industrialists’ and Businessmen’s Association), a NGO comprised of Turkey’s leading businessmen, and executed by Arama Participatory Management Consulting company. As a result; an integrated, multidimensional policy recommendation framework for restructuring Turkish vocational education system was revealed.

 


Application of the BCOR Analysis for the Determination of Gasoline Pricing in Indonesia

 

Asri Nugrahanti

Petroleum Engineering Department

Faculty of Mineral Technology

Trisakti University, Jakarta- Indonesia

asri_nugrahanti@yahoo.com

hanti@trisakti.ac.id

 

 

Gasoline pricing in Indonesia is not an easy task to do. The problems may vary from politics, social, economy, to technology. This analysis evaluates what the impact of BCOR to the government to great extent will be if the pricing follows one of these alternatives: current price condition, price in neighboring countries, and fair price (market mechanism price). When the impact is clear, it may help the government have a standardized gasoline pricing. It’s clear that what the government has been applying in determining gasoline price proves unstable, uncertain, and unpredictable. In the thought-competitive world especially the competition to increase, to qualify oil reserves, Indonesia must level off its quality by having fixed pricing mechanism.

 

The supply and distribution of petrofuel (BBM) aims at gaining the maximal profit for the prosperity of the people and the development of the nation, sufficing domestic needs and providing domestic crude oil. The supply and distribution go through along and complex process. Petrofuel deals with many people’s life, industrial stimulus, foundational factor of national development, and budget. The number of factors considered by decision makers reflects the complexity of petrofuel pricing that can meet many different views. Gasoline pricing is one of petrofuel pricing. Gasoline can be a “price leader” or “effect multiplier ” for the prices of other products. Not only does the gasoline price depend on supply and demand, but it also depends on many influencing factors, both internal such as politics and social and external such as the international market price of crude oil. The determination is really impacted by complicated price structure, tangible and intangible. In determining gasoline pricing which is not easy to be solved, it’s worth considering taking account of alternatives with dominant weight. Each criterion of respective Benefit (B), Cost (C), Opportunity (O), Risk (R), which relates to alternative is applied to find out the best priority. The primary data are from decision makers.

 

Out of several prioritized alternatives, there will be gained 3 outcomes: Standard Condition (B/C), Pessimistic B/(CxR) and Realistic (BxO)/(CxR). The best alternative to choose is the one having the greatest Realistic Price and this chosen alternative is considered as a decision of many existing alternatives.

 

______________________________________________________________

Additional Abstracts

(not presented during the conference)

 

Internal Judgments and Euclidean Centers

 

Ami Arbel

Tel Aviv University,

Tel Aviv 69978, Israel

ami@eng.tau.ac.il

 

Luis Vargas

University of Pittsburgh,

Pittsburgh PA 15260, USA

lgvargas@pitt.edu

 

We formulated the problem of finding a priority vector from an interval reciprocal matrix as an Euclidean center problem. The interesting result is that this formulation always has a solution and provides knowledge about the feasible region. The sign of the objective function of the Euclidean center formulation predicts the existence of a feasible solution that satisfies the constraints given by the interval reciprocal matrix. We showed that, if the Euclidean center objective function is positive, there are multiple plausible solutions, if it is negative, there no feasible solutions, and if it is equal zero, the feasible region consists of a single point.


 

Choosing Promising Areas for Ag-Bio Industry by Using Fuzzy

Multiple Criteria Decision Making Model

 

Yen-Ni Chang, Chih-Young Huang, Julie Chih-Li Sun

Institute of Management of Technology,

National Chiao Tung University, Hsinchu, Taiwan

Biotechnology Industry Research Center,

Taiwan Institute of Economic Research, Taipei, Taiwan

Yenni.mt92g@nctu.edu.tw

 

 

Following in the wake of medical biotechnology, agricultural biotechnology (AgBio) is

slated to become a key area of development in the biotechnology industry. Because agricultural biotechnology is closely connected with food, health, and resource technology industries, many countries are investing heavily in terms of both funding and talent to enhance their international competitiveness in this field. This research study was designed using the fuzzy multiple criteria decision making (FMCDM) methodology combining analytic hierarchy process (AHP) and fuzzy theory and holding a specialists' conference to decide promising AgBio products with international competitiveness for use in guiding industrial development strategies and the allocation of R&D resources. The results show that the FMCDM model can effectively summarize the views of AgBio specialists for the purpose of selecting promising target industries. The research process was also used to explore the various target industries and assess key issues such as the causal relationship between criteria and industries' degree of development. Beyond helping decision-makers formulate policies and allocate resources, this information is also provided as a research reference in connection with market surveys and industrial development trends, etc.


Popular Attitudes Towards Trees in an Urban Context

Using the AHP

 

Farideh Delavari-Edalat, M. Reza Abdi

Bradford University School of Management

Emm Lane, Brdford , BD9 4JL. U.K.

r.abdi@ bradford.ac.uk

 

 

Biophilia is the idea that insists on the dependency of human identity on the relationship with nature. The idea has been developed in recent years and consists of nine tendencies. Aim of this research is to identify the significant popular attitudes towards trees in an urban area based on biophilia tendencies. This research employs the Analytical Hierarchical Process (AHP) to consider basic human instincts and human preferences about their surrounding areas along with environmental factors. Accordingly, the model facilitates the analysis of the results with respect to biophilia tendencies as criteria. Consequently a link between human feeling about urban trees and environmental factors can be found in monitoring the performance analysis.

 

 


 

AHP Application: Aiding Decision-Making in Municipal Economies

 

Mirosław Dytczak, Grzegorz Ginda

Technical University of Opole

48 Katowicka Street

OPOLE, 45-061

ging@po.opole.pl

 

 

Municipal economy problems are of complex nature and they require because of various factors. Thus to include them effectively, multicriteria analysis should be applied. Problems of heat production and delivery systems belong to group of such multidisciplinary problems. They were usually resolved in the past using classical numerical methodology that took into account only technical and economical merits. But to obtain more realistic results, that would allow making more effective decisions, special multicriteria tool is required. The Analytical Hierarchy Process seems to be good alternative to fill the existing gap between realms of decision-making and traditionally utilized methodology for resolving problems of heat production and delivery systems. Thanks to simplicity and effectiveness of AHP methodology it is possible to efficiently prioritize quality of applicable alternatives of heat source for the system delivering heat energy to houses in medium sized city located in Poland.

 


 

The BOCR and Business Rules Motivation Model

 

Tom Feglar

International Consultant in Information Systems Research and Architecture feglar@centrum.cz

 

Jason K. Levy

University of Hawaii,

Information and Computer Science Department,

Pearl Citv.HI. USA. 97782

jlevy@hawaii.edu

 

Tatiana Feglar, Tomas Feglar, jn.

Company-Ing. Tomas Feglar, CSc., Czech Republic

feglar@centrum.cz

 

 

Benefit – Opportunity – Cost – Risk (BOCR) modeling using AHP/ANP receives large popularity in a decision making society in last few decades. Rapid increasing of enterprise information systems complexity thanks to ICT driven innovation is another symptom characterizing these decades.

 

Business Rules Motivation Model (BRMM) was developed by BR Group to simplify Enterprise Architects modeling business owner motivation associated primarily with a vision and desired results.

 

Original BRMM uses for assessment SWOT (Strength, Weakness, Opportunity, and Threat) approach that restricts Enterprise Architect especially in situation when decisions relate to ICT risks. These risks become more and more critical proportionally increasing complexity and ubiquity of information systems.

 

To overcome these limitations we developed new approach that allows replacement of the original SWOT assessment with BOCR.

 

In our paper we describe modified BRMM and the way how it can be realized using CAF (Component Architecture Framework).

 


 

Dynamic Analytic Network Process: Improving Decision Support for Information and Communication Technology

 

Tom Feglar

Enterprise Architect, Prague, Czech Republic

feglar@centrum.cz

 

Jason K. Levy

University of Hawaii, Information and Computer Science Department,

Pearl City, HI. USA. 97782

jlevy@hawaii.edu

 

 

Information and Communication Technology (ICT) becomes very important driven force that could have significant impact to the enterprise. It cannot be ignored thanks to competition. Massive ICT innovation could be too risky thanks unpredictable and complex impact. We focus our attention to the classification of various ICT based innovations that will allow us development of AHP/ANP/DNP class of models suitable for ICT driven innovation management.

 

AHP/ANP/DNP methods are very powerful. At the same time it is difficult – especially in complex problems – design of appropriate hierarchical structure (AHP), the control structure (ANP) and decision horizon (DNP). Application of these methods to the ICT driven decisions could be significantly simplified if we integrate decision models to the enterprise architecture framework.

 

In our paper we describe a set of classification criteria (derived from enterprise architecture perspective) and apply them to the classification of various papers dealing with ICT based innovation.

 


 

Some Parallels between the Analytic Network Process (ANP) & Fractal Geometry

 

Claudio Garuti, Isabel Spencer

Fulcrum Engineering

ispencer@cl.ibm.com

fulcrum@fulcrum.cl

 

 

The aim of this work is to show the parallelisms and analogies that exist in modeling and measuring of dependence and feedback processes, in physical and in decision making processes, this is, to compare among the scales of measurement of the physical world (geometry) and the scales of measurement of the human being internal decision process, in other words, the brain’s internal generation of relative measure scale.

 


 

Selection of Private Participation Model in Seaport Terminal Operation Case: Port of Tanjung Priok Jakarta Indonesia

 

Widodo Harahap

Indonesia Port Company,

PT Pelindo II, Tanjung Priok, Jakarta-Indonesia

 

Idwan Santoso

Bandung Institute of Technology

Jl. Ganesa No. 10 BandungIndonesia

Tel./Fax.62-22-2503147

 

Kadarsah Suryadi

Bandung Institute of Technology

Jl. Ganesa No. 10 BandungIndonesia

Tel./Fax.62-22-2508141, 2507880

kadarsah@bdg.centrin.net.id

 

 

Pressure towards privatization about seaport infrastructure management in Indonesia had increased in last years. It was triggered by some factors to overcome with changing of maritime business environmental. In this situation, need of privatization program in seaport business couldn’t be avoided, so this research tries to develop selection system of privatization form to manage seaport’s terminal at port of Tanjung Priok as a part of PT (Persero) Pelabuhan Indonesia II, Jakarta, Indonesia.

 

This research was done with questionnaire survey which are distributed to respondents. The laters are stakeholders and decision makers related to PT (Persero) Pelabuhan Indonesia II. The proposed research consists of Analytic Hierarchy Process with four criteria’s, they are: financial, service, market condition and local situation, and three alternative solutions, they are: management contract, leasing and build operate transfer. The result showed that the build operate transfer alternative is the most suitable model of privatization to manage seaport’s terminal at port of Tanjung Priok.

 

Mean while, according to a specific criterium, that is readiness for privatizion, the most suitable alternative is leasing. So there is a conflict between AHP result and non AHP result. The solution is a compromized step, through Delphi forum. And decision makers consider that both alternatives are the most suitable solutions. Curently, the final decision is in process.

 


Constructing an AHP Model for Forming Experts’ Consensus in Establishing Payment Standards

-- The Case Of Surgical Specialists

 

Yuan-Huei Huang, Chih-Young Hung, Kuei-Ing Wang

 Institute of Management of Technology, National Chiao Tung University,

 1001 Ta-Hsueh Rd., Hsinchu, 300, Taiwan

pshyhy@tpts4.seed.net.tw

 

Pei-Yeh Chang

Department of Pediatric Surgery, Chang Gung Children’s Hospital,

No.7, Fu-Hsing Street, Kweishan, Taoyuan, 333, Taiwan

pyjchang@ms34.hinet.net

 

King-Jen Chang

Department of Surgery, National Taiwan University Hospital,

No.7.Chung San South Road, Taipei, 100, Taiwan

kingjen@ha.mc.ntu.edu.tw

 

 

Many countries with health insurance systems conduct periodic payment standards reform. How to reach consensus in setting payment standards among different specialties with different agendas become critical issue. The purpose of this study is to construct an analytic hierarchy process (AHP) model for forming experts’ consensus on the issue of “factors related to establishing payment standards in the national health insurance program”. Under this goal, the first-tier contains four evaluation aspects, and the second-tier evaluation criteria include sixteen items in four groups. The AHP model was then used to condense the opinions of the experts through an empirical study. The results of our study strongly support that the AHP model constructed is effective in forming a consensus among surgical specialists.

 


 

Using AHP to Analyze how Medical Students Choose their Specialty

 

Chih-Young Hung, Kuei-Ing Wang, Yuan-Huei Huang

Institute of Management of Technology, National Chiao Tung University,

1001 Ta-Hsueh Rd., Hsinchu, 300, Taiwan

Tel: 886-3-5712121 ext: 57514

kywang54@ms25.hinet.net

 

Pei-Yeh Chang

Department of Pediatric Surgery, Chang Gung Children’s Hospital,

No.7, Fu-Hsing Street, Kweishan, Taoyuan, 333, Taiwan

Tel: 886-3-3281200 ext: 8001

pyjchang@ms34.hinet.net:

 

 

The purposes of this study are employed analytic hierarchy process (AHP) to investigate the important factors that Taiwan’s medical students consider when choosing a specialty, and derive the relative weight of each factor. This study's questionnaire was sent to medical college upperclassmen. A 2-tier hierarchy model is constructed in the questionnaire. The three aspects on the first tier, 'personal preferences/work achievement' had the highest weight of 0.4601(1), followed by 'specialty characteristics' with 0.2907(2) and the 'specialty training process' with 0.2491(3). Of the 14 criteria on the second tier, 'personal intelligence/ability /preference' had the highest weight of 0.1967(1), followed by 'career opportunities' with 0.1072(2) and 'lifestyle after completion of training' with 0.0944(3). The results of this study may serve to guide policymakers -- if incentives are provided in consideration of factors important to medical students, more medical graduates may be willing to enter specialties currently attracting insufficient manpower, and achieve a balanced distribution of specialist physicians.


Web-Based Multi-Attribute Analysis Model

For Make-or-Buy Decision

 

Heung Suk Hwang

Department of Business Administration, Kainan University, Taiwan

No. 1 Kainan Rd., Lu-jhu, Taoyuan, 338, Taiwan (R.O.C.)

Tel: +886-3-341-2500 ext. 6088, Fax : +886-3-341-2176

hshwang@mail.knu.edu.tw

 

 

This paper is concerned with the make-or-buy decision model for manufacturing and procurement problems. We develop a web-based two-step approach such as: 1) the first step, we used the multi-attribute analysis method using AHP (analytic hierarchy process) and 2) second step we used fuzzy set ranking methodologies to integrate the special decision problems that are the problems of multiobjective, multi-criterion, and multi-attributes. We propose a procedure for the comparative judgment and priority for make-or-buy decision and for the optimal resource allocation. First we determine the rank-ordered priority lists of the projects based on the AHP, and then we compute the aggregate fuzzy set rank order. Finally, we develop a systematic and practical program for simple and easy calculation of all the algorithms used in this study. It is found that the proposed model can be validated by comparative computations in various make-or-buy example problems for a cellular manufacturing system.

 

 


 

Supplier Selection And Planning Model Using Ahp

 

Heung Suk Hwang

Department of Business Administration, Kainan University, Taiwan

No. 1 Kainan Rd., Lu-jhu, Taoyuan, Taiwan 338

hshwang@mail.knu.edu.tw

 

Chun-Ling Chuang, Meng-Jong

Department of Information Management, Kainan University, Taiwan

No. 1 Kainan Rd., Lu-jhu, Taoyuan, Taiwan 338

clchuang@mail.knu.edu.tw, mjkuan@mail.knu.edu.tw

 

 

Supplier selection is a multi-criteria decision making problem which includes evaluation factors. In order to select the best suppliers it is crucial to considering the both qualitative and quantitative factors simultaneously. In the supplier selection process, manager also has to consider multi- criteria factors related. Thus the integration of all the multi-criteria analysis and those analysis results by multi-analysis teams has an important meaning in supply chain design. In this paper we suggest a supplier selection analysis problem considering both by AHP method and integration method of analysis results. The proposed first analysis model using AHP which is a three-step decision analysis model which converts the qualitative factors of suppliers transferred into the quantitative measure reliability. Then, the integration model integrates the results of multi-analysis and selects the best supplier. We develop a computer program for both the AHP model and for integration model.

 

 


 

Studies on Values for Paired Comparison in AHP

 

Taki Kanda

Bunri University of Hospitality

311-1 Kashiwabarashinden

Sayama, Saitama 350-1336, Japan

kanda@bunri-c.ac.jp

 

 

Summary: This paper is concerned with human meal preference. For evaluating human meal Kansei (Kansei means human feelings in Japanese.) a method has been proposed to give the scales for human meal feelings as subjective characteristics of food in which the units of the scales are the standard deviations of the standard normal distribution. Here in addition to the method to evaluate human meal feelings a method is discussed to evaluate individuals’ meal intentions by paired comparisons, which is modified AHP(Analytic Hierarchy Process) in judging the consistency of subjects’ answers and giving the scales for the answers. Combining the methods to evaluate human meal feelings and individuals’ meal intentions a method is studied to evaluate individuals’ meal preference. In this paper the methods to evaluate individuals’ meal intentions and also individuals’ meal preference are described and numerical results of the experiment on Kansei evaluation are shown.

 

 


Disaster Planning and Management with

Dynamic AHP

 

Jason Levy

University of Hawaii,

Department of Information and Computer Science,

Mathematics and Science Division,

96-045 Ala Ike Pearl City, HI, 96782

jlevy@hawaii.edu

 

Keith W. Hipel

Univeristy of Waterloo, Systems Design Engineering,

200 University West, Waterloo

Ontario, Canada, N2L 5B3

 

Ali Asgary

Brandon University,

Department of Applied Disaster and Emergency Studies

270 18th Street, Brandon

Manitoba, Canada R7A 6A9

 

 

Time-dependent priorities is a timely and important ANP development which has the potential to greatly improve urban water resources planning and management. In order to efficiently manage urban water systems, dynamic ANP is used to develop a framework for quantify and measure system performance. To this end, urban water system indicators are developed to capture either system serviceability or environmental impacts. A fuzzy inference model is proposed to aggregate the indicators into a summary index capable of evaluating overall system performance. Dynamic ANP involves making paired comparisons not only of the magnitude of relative dominance, but also of rates of change. Examples are given to illustrate how time dependent priorities can be used to improve environmental planning and management.

 


 

Sustainable Land-Use Decision Making from the Geological Point of View: An Example for the Use of Geo-Resources in a Metropolitan Area

 

Oswald Marinoni

Stefan Lang

Christian Lerch

Andreas Hoppe

 

Technische Universität Darmstadt

Institute for Applied Geosciences

Geo-Resources and Geo-Hazards

Schnittspahnstraße 9

D-64287 Darmstadt - Germany

marinoni@geo.tu-darmstadt.de

 

 

Sand and gravel are important raw materials which are needed for many civil engineering projects. Due to economic reasons, sand and gravel pits are frequently located in the periphery of metropolitan areas which are often subject to competing land-use interests. As a contribution to land-use conflict solving, the Analytic Hierarchy Process (AHP) is applied within a Geo-Information-System (GIS) environment. Two AHP preference matrix scenario constellations are evaluated and their results are used to create a land-use conflict map.

 


 

The Analytic Network Process:

Evaluation and Selection of PDP Software

 

James A.W. Mulebeke, Li Zheng

Department of Industrial Engineering

Tsinghua University

100084 Beijing, PR China.

mlk02@mails.tsinghua.edu.cn, lzheng@mail.tsinghua.edu.cn

 

 

Software developers continuously enhance their offerings, often forcing an overhaul of computer systems in order to properly work the improved versions. Entrepreneurs find they have no choice but to update or replace their software. Knowing this and actually making the decision is not easy. This specific qualitative decision problem calls for a strategic solution. This paper focuses on application of the Analytic Network Process to harness the software selection problem for a small-medium sized manufacturing enterprise through objective situation analysis, a structured approach to the solution, and forward planning. Results indicate that trends are towards full blown business software solutions especially for enterprises in areas of market growth due to rapid changes in technology and competitive pressures. Application of a well defined software evaluation and management process helps provide a roadmap with the necessary information to aid management teams make sound decisions that are timely and result in financial savings.

 


 

AHP for Game Theoretic Decision Making

Masaaki Shinohara
Nihon University, Izumi-chou,

Narashino City, Chiba 275-8575, Japan

m7sinoha@cit.nihon-u.ac.jp

Keikichi Osawa
Nihon University, Izumi-chou,

Narashino City, Chiba 275-8575, Japan

K7oosawa@cit.nihon-u.ac.jp


Ken Shinohara
Institute of Information Systems,

Hikarigaoka, Nerima, Tokyo 179-0072, Japan

m7sinoha@cit.nihon-u.ac.jp

 

Hierarchical decomposition is applied to the payoff matrix of a 2-player zero-sum noncooperative game. Relationship between the strategy vector of the integrated payoff matrix and the strategy vector of each decomposed payoff matrix is studied. For the case of 2×2 zero-sum noncooperative game with purely mixed strategies, a simple formula which relates the strategy vector of the integrated payoff matrix and the strategy vector of each decomposed payoff matrix is established; the strategy vector of the integrated payoff matrix is obtained as a weighted combination of the strategy vector of each decomposed payoff matrix with the weight considering both the priority weight of each decomposed payoff matrix (or payoff matrix for each criterion) and the magnitude of each decomposed payoff matrix. The higher layer integrated game corresponds to the strategic decision making and the lower layer decomposed games correspond to the tactical decision making.

 


 

 

A Solution for Multi-Evaluator AHP

Masaaki Shinohara, Keikichi Osawa, Yuko Hida
Nihon University
,

Izumi-chou, Narashino City, Chiba 275-8575, Japan

M7sinoha@cit.nihon-u.ac.jp, k7oosawa@cit.nihon-u.ac.jp, m7sinoha@cit.nihon-u.ac.jp

 

 

We often encounter the large scale AHP where there are many kinds of alternatives (or objects to be evaluated) and one evaluator cannot cover whole objects , so several separate evaluators are needed, further each evaluator has the specific ability to evaluate a specific group of objects. Let such type of AHP be called multi-evaluator AHP.  To solve the multi-evaluator AHP, we propose a logarithmic linear pairwise comparison error model, taking evaluator's specific characteristic in consideration, and then, the least square principle is applied to obtain estimates of object weight and evaluator weight. The physical meaning of weights of evaluators is clarified by the specific formula obtained in our analysis. Further the so called group decision making in AHP is a special case of multi-evaluator AHP, by which we can evaluate the reliabilities of evaluators.


 

Applying the Analytic Hierarchy Process in the Re-vitalization of Post-Mining Regions

 

Ryszard Uberman, Anna Ostręga

AGH University of Science and Technology

Faculty of Mining and Geo-engineering

Department of Opencast Mining

Mickiewicza Avenue 30, pav. A4, office 218

30-059 Kraków

uberman@agh.edu.pl, ostrega@agh.edu.pl

 

 

An application of the AHP in the methodology of designing the re-vitalization of post-mining regions has been presented in this article. A hierarchy of factors and the best ways for the regeneration of exploited region were established by experts. There were two groups of experts: the first one included experts related to the re-vitalized region, while the second one was made up of independent representatives from scientific institutions. Separate results from both groups of experts and the collective results of the judgments are shown in the paper.

 

 


 

Planning and Developing a Web-Based Group Decision Support System for Project Oriented Company Using the Analytic Hierarchy Process Method

 

Kadarsah Suryadi

Laboratory of Information System and Decision Making

Industrial Engineering Department

Bandung Institute of Technology

Jl. Ganesa No. 10 – Bandung, Indonesia

Tel./fax: 62-22-2508141, 62-22-2507880

 

Email:kadarsah@bdg.centrin.net.id

 

 

As the increasing of the organization’s complexities, fewer decisions are made by one individual only. Facilities to support the process of decision-making are needed, and Group Decision Support System (GDSS) as a new face of Decision Support System can be used as an alternative. As an information media that might reduce the problem of time and space, internet can be used as a base of the GDSS development in order to create GDSS with ability in reducing the problem of time and space in decision-making process. This developed web based GDSS is specifically designed for project-oriented company, considering this kind of company is undoubtedly facing various problems that need input from more than one individual. Analytic Hierarchy Process is used as engine in this GDSS, where the geometric mean method is utilized in grouping the judgments from all decision makers.

 

 


 

Development of Customer Decision Mode in Selecting Product Concept Based on Conjoint-Analysis-like AHP (CALAHP)

 

Ferry Malvinas, Kadarsah Suryadi

Industrial Engineering Department - Bandung Institute of Technology

Jl. Ganesa No. 10, Bandung 40132 – Indonesia

ferry@mail.ti.itb.ac.id, kadarsah@bdg.centrin.net.id

 

Kuntoro Mangkoesubroto

School of Business and Management - Bandung Institute of Technology

Jl. Ganesa No. 10, Bandung 40132 – Indonesia

mkuntoro2002@yahoo.com

 

Titah Yudhistira

titah@mail.ti.itb.ac.id

 

 

Business competition becomes progressively severe in the era of globalization. Changes become faster and faster. Customer’s wants and needs keep changing continuously. It is a challenge for companies to improve their existing products and develop the new ones. Therefore, a company has to be able to develop new products conforming customer preferences in a relatively short time. Customer requirements cannot be expressed in an explicit way since they are influenced by customer’s perceptions and preferences of a certain product. Some methods have been developed to measure customer’s preferences. Two methods that are commonly used are conjoint analysis and Analytic Hierarchy Process (AHP). AHP is generally used by decision makers to maximize subjective utility in decision analysis, while conjoint analysis is generally used to maximize customer preferences in marketing, especially for the product development. Each of those methods has strengths and weaknesses, compared to each other, that are: (i) Conjoint analysis has an ability to predict the score of product concepts which are not evaluated directly, while AHP can predict only those which are evaluated directly; (ii) AHP can be used to evaluate product concepts with sub-attribute, while conjoint analysis cannot evaluate product concepts with sub-attribute; (iii) Scores of alternatives produced by AHP are more dispersed compared to conjoint analysis. In addition, AHP and conjoint analysis can only facilitate problems with finite alternatives, while product development demands method which can facilitate problems with infinite alternatives (i.e. attribute’s level with continuous value).

 

This research has developed derivative model of AHP in order to improve AHP so that it has the ability of conjoint analysis (conjoint-analysis-like AHP) and to facilitate the representation of alternatives with continuous attribute value. The examination of the results indicates that the developed model is more sensitive than AHP and has a better predictive ability than conjoint analysis. This research has also indicated that further research can be conducted, for example by considering uncertainty factor and by involving statistical analysis.