Study on the Selection of the Third Party Cold Chain Logistics Based on Fuzzy Comprehensive Evaluation Decision
- DOI
- 10.2991/mse-17.2017.43How to use a DOI?
- Keywords
- Third party cold chain logistics;Fuzzy comprehensive assessment method;Decision making
- Abstract
Compared to general normal temperature logistics, the cost of cold chain logistics is very huge. Not all enterprises have the strength of the development of cold chain logistics. Therefore, these enterprises will focus on the choice of third party cold-chain logistics enterprises. In the process of selection, not only the price, but also concider the strength and influence of its enterprises. In this paper, the accuracy of service information, freight rate, punctuality rate, transportation cost, storage cost, emergency event processing time, timely delivery time, enterprise scale, logistics equipment, information technology level are comprehensively evaluated. Decider the method of fuzzy comprehensive evaluation. According to the membership theory of fuzzy mathematics, the qualitative evaluation indexes of the comprehensive ability of reaction enterprises, service time, service cost, enterprise strength are converted into quantitative evaluation of specific data. Through the establishment of comprehensive evaluation model, the comprehensive evaluation of individual enterprises is obtained, and then the comprehensive ranking score of each enterprise is obtained. According to the score size, choose the cooperative third party cold-chain logistics enterprises, and select the comprehensive score higher enterprises.
- Copyright
- © 2017, 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 - CONF AU - Xi-Hua Teng AU - Sheng-Yu He AU - Xiao-Yuan Mao AU - Xue Li PY - 2017/10 DA - 2017/10 TI - Study on the Selection of the Third Party Cold Chain Logistics Based on Fuzzy Comprehensive Evaluation Decision BT - Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017) PB - Atlantis Press SP - 172 EP - 175 SN - 2352-5428 UR - https://doi.org/10.2991/mse-17.2017.43 DO - 10.2991/mse-17.2017.43 ID - Teng2017/10 ER -