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

被引:120
作者
Tuzkaya, Umut R. [1 ]
Oenuet, Semih [1 ]
机构
[1] Yildiz Tech Univ, Mech Fac, Dept Ind Engn, TR-34349 Istanbul, Turkey
关键词
analytic network process (ANP); fuzzy sets; transportation-mode selection;
D O I
10.1016/j.ins.2008.03.015
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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. (c) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:3133 / 3146
页数:14
相关论文
共 40 条
[1]   Object modeling and path computation for multimodal travel systems [J].
Bielli, Maurizio ;
Boulmakoul, Azedine ;
Mouncif, Hicham .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 175 (03) :1705-1730
[2]   Towards a modal shift in freight transport? A business logistics analysis of some policy measures [J].
Blauwens, G ;
Vandaele, N ;
Van de Voorde, E ;
Vernimmen, B ;
Witlox, F .
TRANSPORT REVIEWS, 2006, 26 (02) :239-251
[3]   Uncertain spatio-temporal reasoning for distributed transportation scheduling problem [J].
Bouzid, Maroua .
APPLIED ARTIFICIAL INTELLIGENCE, 2007, 21 (07) :659-680
[4]   Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach [J].
Büyüközkan, G ;
Ertay, T ;
Kahraman, C ;
Ruan, D .
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2004, 19 (05) :443-461
[5]   An application of fuzzy sets theory to the EOQ model with imperfect quality items [J].
Chang, HC .
COMPUTERS & OPERATIONS RESEARCH, 2004, 31 (12) :2079-2092
[6]  
CHEN SJ, 1992, LECT NOTES ECON MATH, V375, P1
[7]   Product mix optimization for semiconductor manufacturing based on AHP and ANP analysis [J].
Chung, SH ;
Lee, AHI ;
Pearn, WL .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2005, 25 (11-12) :1144-1156
[8]   Using fuzzy MCDM to select partners of strategic alliances for liner shipping [J].
Ding, JF ;
Liang, GS .
INFORMATION SCIENCES, 2005, 173 (1-3) :197-225
[9]   OPERATIONS ON FUZZY NUMBERS [J].
DUBOIS, D ;
PRADE, H .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1978, 9 (06) :613-626
[10]  
Ertay T, 2005, J INTELL FUZZY SYST, V16, P221