A FUZZY MULTICRITERION Q-ANALYSIS MODEL FOR INTERNATIONAL LOGISTIC-PARK LOCATION SELECTION

Authors

Junn-Yuan Teng, Associate Professor, Dept. of Industrial Management, Huafan University, Taipei, Taiwan, R.O.C.
Kuo-Liang Lee, Assistant Professor, Dept. of Marketing & Distribution Management, Overseas Chinese Institute of Technology, Taichung, Taiwan, R.O.CFollow
Wen-Chih Huang, Professor, Dept. of Harbor and River Engineering, National Taiwan Ocean University, Keelung, Taiwan, R.O.C.

Abstract

This research empirically evaluates locations for development of international logistics parks from the perspective of Taiwanese firms. A new fuzzy multiple criteria Q-analysis (MCQA) method is proposed to improve the performance judgment of decision-makers. An empirical evaluation of 11 potential locations in northern Taiwan was performed, using local logistics professionals as participants. The fuzzy MCQA method that integrates MCQA, fuzzy measurement and fuzzy grade classification gives an explicit result value for each criterion to be evaluated. The method greatly decreases the complexity of the evaluation process and preserves the advantages of the traditional MCQA method. Finally, the theoretical and practical implications of the research findings are discussed.

Recommended Citation

Teng, Junn-Yuan; Lee, Kuo-Liang; and Huang, Wen-Chih (2007) "A FUZZY MULTICRITERION Q-ANALYSIS MODEL FOR INTERNATIONAL LOGISTIC-PARK LOCATION SELECTION," Journal of Marine Science and Technology: Vol. 15: Iss. 2, Article 4.
DOI: 10.51400/2709-6998.2037
Available at: https://jmstt.ntou.edu.tw/journal/vol15/iss2/4