【摘要】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 jointly in 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 the genetic algorithm is designed to solve the MINLP models efficiently. Last, numerical study is presented to illustrate and validate the solution approach.
【关键词】location-inventory problem,closed-loop supply chain,reverse logistics,third-party logistics,differntial evolution,genetic algorithm.
该文发表于《International Journal of Production Research》2017年
