摘要
本文针对随机需求条件下物流配送中心的库存和运输联合决策问题,在基本库存和自身运输能力不足的情况下,提出对剩余客户订货需求采取部分延迟到下一期与部分利用第三方物流立即发运两者相结合的策略,并在具有一般惩罚(损失)费延迟发运量限制的条件下,建立运输和库存相关总成本数学期望最小的优化模型,论证了该模型的主要性质,在此基础上很容易构造求解该类问题的优化方法。
This paper addresses a problem that inventory decision and transportation decision under stochastic demand are jointly made by distribution center. It proposes a hybrid policy that combines backlogging with expediting excess demand when its base stock or transportation capacity is under customer demand. It presents a optimization model for expected total inventory and transportation-related cost when the quantity with common shortage cost is constrained. And then main properties of the model are demonstrated. On the basis of this, an optimization method for solving such problem can be easily constructed.
出处
《运筹与管理》
CSCD
2004年第6期74-79,共6页
Operations Research and Management Science
基金
国家(973)课题基金资助项目(G1999043308)
关键词
运筹学
优化模型
部分延迟发运策略
随机需求
库存
运输
operations research
optimization model
partial backlogging policy
stochastic demand
inventory
transportation
