Third party logistics provider service performance evaluation based on triangular fuzzy topsis
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- Category: Economy and management
- Last Updated on 04 August 2016
- Published on 04 August 2016
- Hits: 3650
Authors:
Xionglin Zhang, School of Economics and Management, China Three Gorges University, Yichang, Hubei, China
Jingjun Pan, School of Economics and Management, China Three Gorges University, Yichang, Hubei, China
Caiyun Zhang, School of Economics and Management, China Three Gorges University, Yichang, Hubei, China
Abstract:
Purpose. Appeared together with a large number of the companies providing outsourcing and logistic services, the competition between complex logistic providers becomes more and more rigid every day. Facing complexity of coordinating of a line-up of deliveries, it is important to estimate effectiveness of rendering of services by third-party logistic providers.
Methodology. The method of estimation of services effectiveness by the logistic companies moves ahead under the auspices of the triangular fuzzy analysis of TOPSIS and the fuzzy set theory. Third party logistics providers is promoted under the guidance of triangular fuzzy technology for order preference by similarity to an ideal solution (TOPSIS) analysis and fuzzy set theory. Eight evaluation indexes are selected through a review of the researches on Third Party Logistics Provider Service Performance Evaluation.
Findings. The scientific analysis method for the third party logistics providers service performance evaluation has been furnished. It provides a theoretical basis for the management of the decision.
Originality. This study is one of the first studies to propose a triangular fuzzy TOPSIS method to evaluate the third party logistics providers service performance.
Practical value. We establish the analysis method to help third party logistics providers to improve their operating conditions, and find that we should focus on the economic interests and the potential profits, brought by service, to create greater cost for the company and the society.
References / Список літератури
1. Yijun Huang, Kaikai Yin, 2014. Research on the Evaluation and Selection of Third-Party Logistics Providers in B2C E-Commerce Mode, Journal of Electronic Commerce in Organizations, Vol. 12, No. 2, pp. 74–88.
2. Soonhu S, 2010. A Decision Model for Evaluating Third-party Logistics Providers Using Fuzzy Analytic Hierarchy Process, African Journal of Business Management, Vol. 4, No. 3, pp. 339–349.
3. Gülşen Akman, Kasım Baynal, 2014. Logistics Service Provider Selection through an Integrated Fuzzy Multicriteria Decision Making Approach, Journal of Industrial Engineering, pp. 1–16.
4. Carl Marcus Wallenburg, Jan Simon Raue, 2011. Conflict and its governance in horizontal cooperation of logistics service providers, International Journal of Physical Distribution & Logistics Management, Vol. 41, No. 4, pp. 385–400.
5. Sun Chao, Zhang Guangming, 2012. An empirical investigation of the impact of SCM components on the logistics service performance, Proc. Of International Symposium on Distributed Computing & Applications to Business, pp. 251–255.
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