A fuzzy analytic network process based approach to transportation-mode selection between Turkey and Germany: A case study

A case study examining the different modes for transportation of freight by a Turkish logistics-service provider company is presented herein. A number of conflicting qualitative and quantitative criteria exist for evaluating alternative modes of transport. Qualitative criteria are often accompanied by ambiguity and vagueness. To cope with ambiguity and vagueness problem, the fuzzy analytic network process (ANP) method has been used. A large number of detailed criteria that interact with each other have been evaluated and synthesized to obtain the most suitable transportation mode. This evaluation has been carried out by a group of decision makers coming from different management levels and functional areas in the sector of logistics and from the service company with intent to provide a more accurate and mutually acceptable solution. Furthermore, the model used here has been validated by comparing the results obtained with the current preferences of the company.

[1]  de Ag Ton Kok,et al.  Transportation mode selection with positive manufacturing lead time , 2005 .

[2]  Thomas L. Saaty,et al.  Decision making with dependence and feedback : the analytic network process : the organization and prioritization of complexity , 1996 .

[3]  T. Ross Fuzzy Logic with Engineering Applications , 1994 .

[4]  Thomas A. Runkler,et al.  Optimization of logistic systems using fuzzy weighted aggregation , 2007, Fuzzy Sets Syst..

[5]  Thomas L. Saaty,et al.  The Analytic Network Process – Dependence and Feedback in Decision-Making: Theory and Validation Examples , 2006 .

[6]  Carl D. Meyer,et al.  Matrix Analysis and Applied Linear Algebra , 2000 .

[7]  Wen Lea Pearn,et al.  Product Mix Optimization for Semiconductor Manufacturing Based on AHP and ANP Analysis , 2005 .

[8]  Madan M. Gupta,et al.  Fuzzy mathematical models in engineering and management science , 1988 .

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

[10]  Maroua Bouzid UNCERTAIN SPATIO-TEMPORAL REASONING FOR DISTRIBUTED TRANSPORTATION SCHEDULING PROBLEM , 2007, Appl. Artif. Intell..

[11]  Nico Vandaele,et al.  Towards a Modal Shift in Freight Transport? A Business Logistics Analysis of Some Policy Measures , 2006 .

[12]  Da Ruan,et al.  Quality function deployment implementation based on analytic network process with linguistic data: An application in automotive industry , 2005, J. Intell. Fuzzy Syst..

[13]  Hung-Chi Chang,et al.  An application of fuzzy sets theory to the EOQ model with imperfect quality items , 2004, Comput. Oper. Res..

[14]  Thomas L. Saaty,et al.  Diagnosis with Dependent Symptoms: Bayes Theorem and the Analytic Hierarchy Process , 1998, Oper. Res..

[15]  H SHENG,et al.  Fuzzy measure on vehicle routing problem of hospital materials , 2006, Expert Syst. Appl..

[16]  D. Dubois,et al.  Operations on fuzzy numbers , 1978 .

[17]  Mikko Punakivi,et al.  Selection Criteria of Transportation Mode: A Case Study in Four Finnish Industry Sectors , 2006 .

[18]  Ronald E. Giachetti,et al.  A parametric representation of fuzzy numbers and their arithmetic operators , 1997, Fuzzy Sets Syst..

[19]  Madan G. Singh,et al.  Fuzzy analytic network process and its application to the development of decision support systems , 2003, IEEE Trans. Syst. Man Cybern. Part C.

[20]  Maurizio Bielli,et al.  Object modeling and path computation for multimodal travel systems , 2006, Eur. J. Oper. Res..

[21]  Mehdi Ghatee,et al.  Ranking function-based solutions of fully fuzzified minimal cost flow problem , 2007, Inf. Sci..

[22]  Ching-Lai Hwang,et al.  Fuzzy Multiple Attribute Decision Making - Methods and Applications , 1992, Lecture Notes in Economics and Mathematical Systems.

[23]  R. P. Mohanty,et al.  A fuzzy ANP-based approach to R&D project selection: A case study , 2005 .

[24]  Nikos I. Karacapilidis,et al.  On the development of a web-based system for transportation services , 2006, Inf. Sci..

[25]  Gin-Shuh Liang,et al.  Using fuzzy MCDM to select partners of strategic alliances for liner shipping , 2005, Inf. Sci..

[26]  Da Ruan,et al.  Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach , 2004 .

[27]  E. Aktas,et al.  An Integrated Transportation Decision Support System for Transportation Policy Decisions: The Case of Turkey , 2007 .

[28]  Gwo-Hshiung Tzeng,et al.  A soft computing method for multi-criteria decision making with dependence and feedback , 2006, Appl. Math. Comput..

[29]  Michael Wagenknecht,et al.  Computational aspects of fuzzy arithmetics based on Archimedean t-norms , 2001, Fuzzy Sets Syst..

[30]  Chuen-Chien Lee FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[31]  Lotfi A. Zadeh,et al.  A fuzzy-algorithmic approach to the definition of complex or imprecise concepts , 1976 .

[32]  Lotfi A. Zadeh,et al.  Toward a generalized theory of uncertainty (GTU)--an outline , 2005, Inf. Sci..

[33]  T. Saaty,et al.  Fundamentals of the analytic network process — Dependence and feedback in decision-making with a single network , 2004 .

[34]  Manoranjan Maiti,et al.  An application of real-coded genetic algorithm (RCGA) for mixed integer non-linear programming in two-storage multi-item inventory model with discount policy , 2006, Appl. Math. Comput..

[35]  Jiuh-Biing Sheu,et al.  A hybrid fuzzy-optimization approach to customer grouping-based logistics distribution operations , 2007 .

[36]  Da Ruan,et al.  Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach , 2004, Int. J. Intell. Syst..

[37]  Gülçin Büyüközkan,et al.  A fuzzy optimization model for QFD planning process using analytic network approach , 2006, Eur. J. Oper. Res..

[38]  Reha Uzsoy,et al.  Production, Manufacturing and Logistics Outbound supply chain network design with mode selection, lead times and capacitated vehicle distribution centers , 2005 .

[39]  Chung Yee Lee,et al.  Production and transport logistics scheduling with two transport mode choices , 2005 .