运筹与管理Issue(5)：90-97,8.
考虑服务水平的逆向物流网络优化决策
Decision-making for Reverse Logistics Network Optimization Considering Service Level
摘要
Abstract
This paper proposes a multi-objective reverse logistics network optimization model considering both cost and service level to help manufacturers of electronic products provide quality post-sale repair service for their consumers .Due to the NP-hard nature of the problem , two multi-objective evolutionary algorithms are employed including the Non-dominated Sorting Genetic Algorithm II ( NSGA-II ) and Multi-objective Simulated Annealing ( MOSA) .The performance of the two heuristic algorithms is compared using numerical examples .The computa-tional results show that NSGA-II outperforms MOSA .关键词
逆向物流/物流网络设计/多目标进化算法/选址-分配Key words
reverse logistics/logistics network design/multi-objective evolutionary algorithms/location-allocation分类
管理科学引用本文复制引用
李爽,王能民,何正文,马云高..考虑服务水平的逆向物流网络优化决策[J].运筹与管理,2013,(5):90-97,8.基金项目
国家自然科学基金项目（70602017，70971105，71071126）；国家社会科学基金重大项目（1282D070）；陕西省自然科学基金项目（2010JM9003）；中央高校基本科研业务费专项资金资助 （）
