关键词: 产品回收, 正向物流, 多级逆向物流网络, 01混合整数规划模型, 遗传算法

Abstract: To reduce reverse logistics cost, improve customers convenience in product return and optimize channel selection decision of product return in reverse logistics, a multiechelon reverse logistics network including initial collection point, central return center and return handling plant, was proposed based on quondam forward logistics network. Reverse logistics network design problem was formulated as a 01 mixedinteger programming model and was designed to minimize the total reverse logistics cost, and to pay attention to convenience of production return. Therefore it realized the location/allocation problem of reverse logistics. Genetic algorithm was adopted to solve the optimization model. An simulation example was presented to prove the feasibility and validity of the proposed method. Consequently, the study offered referenced model and solution algorithm for reverse logistics network design in enterprises.

Key words: product return, forward logistics, multiechelon reverse logistics network, 01 mixedinteger programming model, genetic algorithm