期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 56, 期 10, 页码 3462-3481出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2017.1338781
关键词
location-inventory problem; closed-loop supply chain; reverse logistics; third-party logistics; differential evolution; genetic algorithm
资金
- Central University of Finance and Economics [CCNU14Z02016]
- National Natural Science Foundation of China [71171093, 71471073]
Third-party logistics (3PL) is a fast growing business. Many large organisations are using 3PL services to reduce operating costs, simplify business processes, and enhance operations and supply chain flexibility. In this paper, we study location-inventory decisions jointlyin a closed-loop system with 3PL. First, a model formulation is proposed to develop mixed-integer non-linear programming (MINLP) models for the location-inventory problem under study. Then, a novel heuristics based on differential evolution and thegenetic algorithm is designed to solve the MINLP models efficiently. Last, numerical study is presented to illustrate and validate the solution approach.
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