An Integrated Methodology using Linguistic PROMETHEE and Maximum Deviation Method for Third-party Logistics Supplier Selection

DOI

10.2991/ijcis.2010.3.4.4How to use a DOI?

Keywords

Linguistic PROMETHEE, Maximum deviation method, Multi-criteria decision making, Logistic suppliers

Abstract

The purpose of this paper is to present a framework and a suitable method for selecting the best logistics supplier. In general, many quantitative and qualitative criteria should be considered simultaneously for making the decision of logistics supplier selection. The information about judging the performance of logistics suppliers will come from customers’ opinions, experts’ opinions and the operational data in the real environment. Under this situation, the selection problem of logistic suppliers will be the uncertainties and fuzziness problems in the decision making process. Therefore, we combined the linguistic PROMETHEE method with maximum deviation method to determine the ranking order of logistics suppliers. And then, an example is implemented to demonstrate the practicability of the proposed method. Finally, some conclusions are discussed at the end of this paper.

Copyright

© 2010, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Chen-Tung Chen
AU  - Ping-Feng Pai
AU  - Wei-Zhang Hung
PY  - 2010
DA  - 2010/10/01
TI  - An Integrated Methodology using Linguistic PROMETHEE and Maximum Deviation Method for Third-party Logistics Supplier Selection
JO  - International Journal of Computational Intelligence Systems
SP  - 438
EP  - 451
VL  - 3
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.4.4
DO  - 10.2991/ijcis.2010.3.4.4
ID  - Chen2010
ER  -