Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)

Performance Evaluation of Third-party Cold Chain Logistics Enterprise Based on A Comprehensive Evaluation Method

Authors
Huijun Huang, Yawen Xu
Corresponding Author
Huijun Huang
Available Online January 2017.
DOI
https://doi.org/10.2991/icefs-17.2017.17How to use a DOI?
Keywords
Third-party cold chain logistics, Performance evaluation, Analytic hierarchy process, Grey theory, Fuzzy comprehensive evaluation
Abstract
Performance evaluation of third-party cold chain logistics (3PCCL) enterprise is a complex and difficult process requiring the consideration of various aspects. This paper set up a scientific index system including four aspects: finance, internal operation, customer as well as learning and growth. Meanwhile, it used a comprehensive evaluation method, which combines analytic hierarchy process (AHP) with grey theory and fuzzy comprehensive evaluation method, to implement performance evaluation. Then, a professional 3PCCL enterprise was chosen to be evaluated as a case study. The results show that the comprehensive evaluation method is efficient and reliable, and thereby it can be used for better logistics management and improvement.
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Proceedings
2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
Part of series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
978-94-6252-311-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/icefs-17.2017.17How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Huijun Huang
AU  - Yawen Xu
PY  - 2017/01
DA  - 2017/01
TI  - Performance Evaluation of Third-party Cold Chain Logistics Enterprise Based on A Comprehensive Evaluation Method
BT  - 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 192
EP  - 199
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.17
DO  - https://doi.org/10.2991/icefs-17.2017.17
ID  - Huang2017/01
ER  -