An Integrated Methodology using Linguistic PROMETHEE and Maximum Deviation Method for Third-party Logistics Supplier Selection
- https://doi.org/10.2991/ijcis.2010.3.4.4How to use a DOI?
- Linguistic PROMETHEE, Maximum deviation method, Multi-criteria decision making, Logistic suppliers
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 customersâ€™ opinions, expertsâ€™ 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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/ijcis.2010.3.4.4 ID - Chen2010 ER -