摘要
考虑全球制造环境下单产品在多个供应商和多个用户之间的联合物流决策问题,包括供应商指定的生产任务、生产批量、供应商和用户之间的年运输量和订货批量.联合决策过程可以看作是两层决策,其中第一层是供应商指定的生产任务和生产批量的联合决策(APLS),第二层是运输和订货批量的联合决策(TOQ).因此,提出了基于两层分解的启发式算法来求解这样的联合决策模型(JDM).结合实际例子对模型和算法进行了仿真分析,结果证明了基于两层分解的启发式算法的有效性.
The joint decisions of production assignment, lot sizing, transportation and order quantity for single product in a production_distribution network system with multiple suppliers and multiple destinations are discussed in this paper. The joint decision addressed in this paper is in effect a two layer decision procedure, of which the upper layer is the joint decision in production assignment and lot sizing(APLS), and the lower layer is a joint transportation and order quantity(TOQ) problem. Subsequently, a two_layer decomposition method combined with several heuristics is developed to solve the joint decision model(JDM), by which an assignment heuristics and an improved linear programming_based heuristics are adopted to solve APLS and TOQ model respectively. A numerical example is illustrated in the paper.
出处
《管理科学学报》
CSSCI
北大核心
2005年第2期54-60,共7页
Journal of Management Sciences in China
基金
国家自然科学基金资助项目(70471028
70301007
70431003)
教育部科技研究重点资助项目(104064)
教育部优秀青年教师资助计划(2002-350)
教育部新世纪优秀人才支持计划资助项目
辽宁省自然科学基金资助项目(20022019).
关键词
联合决策
生产分销合作
启发式算法
两层分解
供应链管理
joint decisions
production/distribution coordination
heuristics
two_layer
supply chain management