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系統識別號 U0026-0812200915391900
論文名稱(中文) Location and Country Investment Decision: A Case Study on a French Global Minerals Company
論文名稱(英文) Location and Country Investment Decision: A Case Study on a French Global Minerals Company
校院名稱 成功大學
系所名稱(中) 國際經營管理研究所碩士在職專班
系所名稱(英) Institute of International Management (IIMBA--Master)(on the job class)
學年度 97
學期 2
出版年 98
研究生(中文) 張憲輝
研究生(英文) Frank Chang
學號 ra792117
學位類別 碩士
語文別 英文
論文頁數 88頁
口試委員 口試委員-陳勁甫
口試委員-楊曉瑩
召集委員-張紹基
指導教授-黃國平
中文關鍵字 None 
英文關鍵字 Fuzzy Delphi  Fuzzy AHP  Globalization  Location decision 
學科別分類
中文摘要 None
英文摘要 Finding the most suitable facility location for multinational enterprises is one of the most strategic components of globalization so it is important to consider how multinational corporations operate with different opportunities and risk confines of each individual country to obtain the greatest economic benefits in order for the investment to be successful.
Most of the real world decisions involve some aspects that are unknown and difficult to predict. This type of decisions is referred as decisions under uncertainty. The decisions under uncertainty can be further subdivided into fuzzy and Probabilistic be further subdivided into fuzzy and probabilistic decision-making .
The study try to find out to a set of systematic procedures and knowledge used in the decision analysis to find the most suitable facility location The AHP model provides a framework to assist managers in analyzing various location factors, evaluating location site alternatives, and making final location selections. The model requires that a number of potential sites have been proposed. Alternatives are then evaluated and compared under both quantitative and qualitative factors to allow managers to incorporate managerial experiences and judgment in the solution process.
In this study we classify many different types of criteria from reference and experts’ opinions which relate to the goal. Fuzzy Delphi was used to screen out the important criteria. Then by using the AHP (Analytical Hierarchy Process) method we obtain the relative weight of criteria. Since experts’ evaluations might have varied due to different operating environments this could have easily biased the weighting process by using the Triangular Fuzzy Number of FAHP theory to consolidate the experts’ opinion. In addition, we use Linguistic Variable to obtain the Fuzzy performance evaluation of alternatives.
The results of this study provide information about various countries. The Indian alternative was found to have the highest performance evaluation. This was found by analyzing the significant weight of criteria’s potential demand, facility proximity to customer, and low competition. The Chinese alternative was found to be at a disadvantage at maintaining long term relationships with customers. This was found to be due to far away customer. It was also found to be highly competitive in this market both from locally and internationally. Therefore, proximity to key customers and timing in entering the market were found to be key factors to achieve success in this industry.
論文目次 ACKNOWLEDGEMENTS I
ABSTRACT II
TABLE OF CONTENTS IV
LIST OF TABLES VII
LIST OF FIGURES IX
CHAPTER ONE INTRODUCTION 1
1.1 Research Background. 1
1.2 Research Motivation. 4
1.3 Research Objective. 5
1.4 Research Structure and Flow. 5
CHAPTER TWO LITERATURE REVIEW 7
2.1 Location and Investment Theory. 7
2.2 Decision-Making Theory. 11
2.2.1 Problem Definition. 13
2.2.2 Evaluation Criteria. 13
2.2.3 Criteria Weights. 14
2.3 Background of the Targeted Company. 14
2.4 Facility Selection Criteria Theory Review. 16
2.5 AHP Theory Review. 18
CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 20
3.1 The Delphi Method. 20
3.2 The Fuzzy Theory. 22
3.3 Analytical Hierarchy Process. 25
3.4 Fuzzy Analytical Hierarchy Process. 28
3.5 Linguistic Variable. 30
3.6 Fuzzy Synthesis Decision. 31
3.7 Ranking of Alternatives by Centroid Method. 32
3.8 Questionnaire and Sample Size. 33
CHAPTER FOUR RESEARCH ANALYSIS AND RESULTS 35
4.1 Facility Location Alternatives Selection. 35
4.1.1 Description of GCC Plant. 35
4.1.2 Background of the Alternatives. 36
4.1.3 Procedure for the Facility Location Selection in the real world. 37
4.1.4 Set up the Facility Location Selection Criteria. 37
4.2 The criteria screened out for Location Selection Decision – Fuzzy Delphi Method. 38
4.2.1 The Simple Calculation for AHP Weight of Each Criterion. 43
4.2.2 The Fuzzy Weight. 43
4.2.3 The Fuzzy Evaluation for Each Alternative. 46
4.3 Summary. 52
CHAPTER FIVE CONCLUSION AND SUGGESTIONS 53
5.1 The Results of this Research. 53
5.1.1 Data Analysis and Interpretation. 53
5.1.2 Alternatives Comparison and Findings. 55
5.2 Suggestions. 57
REFERENCES 60
APPENDICES 63
Appendix 1: Delphi Method Questionnaire 63
Appendix 2: AHP Questionnaire 67
Appendix 3: Fuzzy Evaluation for Alternatives Questionnaire. 76
Appendix 4: AHP Criteria Preliminary Weight 85
Appendix 5: Subjective Cognition of the Interviewees Linguistic Variables 87
Appendix 6: Fuzzy Performance of Australian Alternative 87
Appendix 7: Fuzzy Performance of India Alternative 87
Appendix 8: Fuzzy Performance of Chinese Alternative 88
Appendix 9: Fuzzy Performance of Taiwanese Alternative 88
參考文獻 Behrens, W., & Hawranek, P. M. (1991). Manual for the preparation of industrial feasibility studies. Australia: United Nations Industrial Development Organization Publication.
Bergsman, S. (1993). Incentives, location, quality of life: All figure into the site selection equation. National Real Estate Investor, October,158-178.
Bhagwati, J. (2004). In defense of globalization. Oxford, New York: Oxford University Press.
Brandeau, M., & Chiu, S. (1989). An overview of representative problems in location research. Management Science. 35, 645-674.
Brown, P., & Gibson, D. (1972). A quantified model for site selection-application to a multi-plant location problem. AIIE Transactions. 4(1), 1-10.
Chakhar, S. (2003). Enhancing geographical information systems capabilities with multi-criteria evaluation functions. Journal of Geographic Information and Decision Analysis 7(2), 47-71.
Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95, 649-655.
Chapman, K., & Walker, D. (1987). Industrial location. Basil Blackwell, Oxford.
Chen, S. J., Hwang, C. L., & Hwang, F. P. (1992). Fuzzy multiple attribute decision making: Methods and applications. Secaucus, NJ: Springer-Verlag New York, Inc.
Chen, Y. B. (2002). Fuzzy multi-criteria decision making for research on selection criteria of strategic alliance partners for air company, Master Degree of Department of Shipping & Transportation of Taiwan Ocean University
Croucher, S. L, (2004). Globalization and belonging: The politics of identity in a changing world. Rowman & Littlefield.
Daw, K. S. (1993). A game of decision making method - AHP introductory. Interpreted by Chen Ming Yang, Taipei: Jian-Hung.
Deng, H. (1999). Multicriteria analysis with fuzzy pairwise comparisons. International Journal of Approximate Reasoning, 21, 215-231.
Dornier, P., Ernst, R., Fender, M., & Kouvellis, P (1998). Global operations and logistics. John Wiley & Sons.
Friedrich, C. J. (1929). Alfred Weber’s theory of the location of industries. Chicago: Chicago University Press, Chicago.
Galotti, K. M. (2002). Making decisions that matter – How people face important life choices. Mahwah, New Jersey: Lawrence Erlbaum Associations, Publishers.
Greenhut, M. L. (1956). Plant location in theory and in practice. The economics in space. North Carolina: North Carolina University Press, North Carolina.
Hayter, R. (1997). Locational decision-making in a resource-based manufacturing. Professional Geographer, 3, 240-249.
Hsu, T. H. (1998). The fuzzy delphi analytic hierarchy process. Journal of Chinese Fuzzy Systems Association, 4(1), 59-72.
Huang, S. Y. (2005). The application of Fuzzy Delphi Analytical Hierarchy Process in site selection and it’s criteria – A case study of a Japanese automobile manufacturing company in Taiwan (in Chinese). Unpublished Master’s Thesis, Chung Hua University, Hsinchu, Taiwan.
Huang, Y. T. (2005). A research on selection criteria of strategic alliance partners in telecom industry –A case study for privatized Chunghwa telecom.(in Chinese). Unpublished Master’s Thesis, National Cheng Kung University, Tainan, Taiwan.
Hwang, C. L., & Lin, M. J. (1987). Group decision making under multiple criteria: Methods and applications. New York: Springer-Verlag.
Hwang, C.L., & Chen, S.J. (1992). Fuzzy multiple attribute decision making, method and applications. New York: Springer-Verlag.
Isard, W. (1990). Location analysis and general theory. New York: New York University Press.
Ishikawa, A., Amagasa, T., Tamizawa, G., Totsuta, R., & Mieno, H. (1993). The max-min delphi method and fuzzy delphi method via fuzzy integration. Fuzzy Sets and System, 55, 241-253.
Kanter R. K. (1995). Thriving locally in the global economy. Harvard Business Review.
Laulajainen, R. & Stafford, A. H. (1995). Corporate geography : Business location principles and cases. The Netherlands: Kluwer Academic Publishers
Lee, S., Green, G., & Kim, C. (1981). A multiple criteria model for the location problem. Computers and Operations Research, 8(1), 1-8.
Nobre, F. F., Trotta, L. T. F., & Gomes, L. F. A. M. (1999). Multi-criteria decision making: An approach to setting priorities in health care. Symposium on statistical bases for public health decision making: from exploration to modeling, 18(23), 3345-3354.
Rosenthal, J., White, J., & Young, D. (1978). Stochastic dynamic location analysis. Management Science, 24(6), 645-653.
Soderman, S. (1975). Industrial location planning: An empirical investigation of company approaches to the problem of locating new plants. Sweden: Almqvist & Wiksell International AB, Stockholm.
Saaty, T. (1980). The analytic hierarchy process. New York: McGraw-Hill
Saaty, T. (1988). Decision making for leaders. Pittsburgh: RWS Publications.
Saaty, T. (1996). Multi-criteria decision making: The analytic hierarchy process. Pittsburgh: RWS Publications.
Saaty, T. L. (1982). The analytical hierarchy process for decisions in a complex world, Decision Making for Leader. A Division of Wadsworth, Inc.
Schniederjans, T., & Garvin, T. (1997). Using the analytic hierarchy process and multi-objective programming for the selection of cost drivers in activity-based costing. European Journal of Operational Research, 100, 72-80.
Sule, R. D. (2001). Logistics of facility location and allocation. New York: Maexel Dekker, Inc.
Tam, M. C. Y., & Tummala, V. M. R. (2001). An application of the AHP in vendor selection of a telecommunications system, Omega, 29, 171-182.
Tansel, B., Francis, R., & Lowe, T. (1989). Location on networks: A Survey, Management Science, 29, 482-492.
Webber, J. M. (1973). Impact of uncertainty on location. Australia National University Press.
Wesolowsky, G. (1977). Probabilistic weights in the one-dimensional facility Location Problem Management Science, 24(2), 224-229.
Zadeh, L. (1965). Fuzzy sets. Information and Control, 8(3), 338-353.
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