Performance Evaluation of International Container Ports in Taiwan and Neighborhood Area by Weakness and Strength Indices of FMCDM

International trade for economic development is one of important articles in many countries. Additionally, intermodal transportation and global logistics in international trade are essential practices, and the important connection between the two is international container ports. For Taiwan and neighboring areas, the cargo loadings of intermodal transportation and global logistics have increased now, and thus international container ports with high performance are critical. In this paper, we evaluated performance of 12 international container ports including Hong Kong, Shanghai, Kaohsiung, Shenzhen, Singapore, Tokyo, Pusan, Klang, Manila, Laem Chabang, Oingdao, and Tanjung Priok in Taiwan and neighboring areas on 13 criteria: tug boat operation, untwisting rope operation, pilot operation, stevedoring efficiency, low damage rate for goods, awaiting unloading, working and service flexibility, application service process, service personnel ability, service personnel attitude, advisory services, harbor rates and stevedoring rates by fuzzy multi-criteria decision-making(FMCDM) with weakness, and strength indices. Through the FMCDM, we effectively and efficiently evaluated the performance problem of the 12 international container ports in Taiwan and neighboring areas.

[1]  Gerald J. Lieberman,et al.  Introduction to operation research. , 2001 .

[2]  Hsuan-Shih Lee,et al.  A Fuzzy Multi-criteria Decision Making Model for the Selection of the Distribution Center , 2005, ICNC.

[3]  Amy H. I. Lee,et al.  A Performance Evaluation Model Using FAHP/DEA and the Malmquist Productivity Index to Assess the Photovoltaics Industry in Taiwan , 2014 .

[4]  M. Mitchell,et al.  Establishing an Evaluation Model for Emerging Industry Credit Ability for the Banking Sector , 2010 .

[5]  Yu-Jie Wang,et al.  A fuzzy multi-criteria decision-making model by associating technique for order preference by similarity to ideal solution with relative preference relation , 2014, Inf. Sci..

[6]  M. R. Mitchell,et al.  Combining Gray Relation and Analytical Hierarchy Process Concepts to Develop a Decision Support System of Supply Chain Project Management , 2011 .

[7]  Gin-Shuh Liang,et al.  Fuzzy MCDM based on ideal and anti-ideal concepts , 1999, Eur. J. Oper. Res..

[8]  Chien-Wei Wu,et al.  Process Performance Evaluation with Imprecise Information , 2010 .

[9]  S. H. Chen,et al.  GRADED MEAN INTEGRATION REPRESENTATION OF GENERALIZED FUZZY NUMBER , 1999 .

[10]  Francisco Herrera,et al.  A model of consensus in group decision making under linguistic assessments , 1996, Fuzzy Sets Syst..

[11]  Hsuan-Shih Lee,et al.  On fuzzy preference relation in group decision making , 2005, Int. J. Comput. Math..

[12]  Yu-Jie Wang,et al.  Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan , 2008, Expert Syst. Appl..

[13]  Chin-Nung Liao,et al.  An Evaluation Model Using Fuzzy TOPSIS and Goal Programming for TQM Consultant Selection , 2013 .

[14]  M. R. Mitchell,et al.  Group Decision–Making in a Multiple Criteria Environment—A Case Using the AHPGR Model to Assess Digital Video Recorder Systems , 2008 .

[15]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[16]  Hsuan-Shih Lee,et al.  Evaluating financial performance of Taiwan container shipping companies by strength and weakness indices , 2010, Int. J. Comput. Math..

[17]  Hsuan-Shih Lee,et al.  Generalizing TOPSIS for fuzzy multiple-criteria group decision-making , 2007, Comput. Math. Appl..

[18]  Chien-Chang Chou,et al.  Application of FMCDM model to selecting the hub location in the marine transportation: A case study in southeastern Asia , 2010, Math. Comput. Model..

[19]  Shan-Huo Chen Ranking fuzzy numbers with maximizing set and minimizing set , 1985 .

[20]  P. Anand Raj,et al.  Ranking alternatives with fuzzy weights using maximizing set and minimizing set , 1999, Fuzzy Sets Syst..

[21]  Chin-Tsai Lin,et al.  Fuzzy-GIS Approach for Applying the AHP Multi-Criteria Decision-Making Model to Evaluate Real Estate Purchases , 2013 .

[22]  José L. Verdegay,et al.  Linguistic decision‐making models , 1992, Int. J. Intell. Syst..

[23]  Susan Greener,et al.  Business Research Methods , 2008 .

[24]  Yih-Chearng Shiue,et al.  An Application of AHP and Sensitivity Analysis for Measuring the Best Strategy of Reverse Logistics: A Case Study of Photovoltaic Industry Chain , 2013 .

[25]  M. Mitchell,et al.  Organizational Performance Measurement System and International Tourist Hotels: A New Conceptual Framework , 2011 .

[26]  Ch.-Ch Chou The canonical representation of multiplication operation on triangular fuzzy numbers , 2003 .

[27]  Chien-Chang Chou,et al.  A fuzzy MCDM method for solving marine transshipment container port selection problems , 2007, Appl. Math. Comput..