关键词: 物流工程, 选址配送, 粒子群算法, 配送回收中心, 模糊随机

Abstract: A location and allocation research is conducted for collection and distribution center in closed-loop supply chain structured by manufacturers, retailers, collection and distribution centers and a disposal center. A multi-objective collection-distribution center location and allocation problem in a closed loop supply chain for minimizing total cost and environment impact is proposed, where product return rate and reusable rate are assumed as fuzzy random variables, and facility capacity, flow and quantity are considered. After improving the global-local-neighbor particle swarm optimization, a priority-based global-local-neighbor particle swarm optimization is proposed. A case study is conducted to illustrate the effectiveness and advancement of the proposed model and algorithm.

Key words: logistics engineering, location and allocation, particle swarm optimization, distribution-collection center, fuzzy random