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首页> 外文期刊>International Journal of Industrial Engineering >Simulation-Based Heuristic Algorithm Minimizing Average Inventory Costs on a Multi-Stage Serial Inventory System: A Service Measure Perspective
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Simulation-Based Heuristic Algorithm Minimizing Average Inventory Costs on a Multi-Stage Serial Inventory System: A Service Measure Perspective

机译：基于仿真的启发式算法，在多阶段串行库存系统上最大程度地降低平均库存成本：服务措施视角

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摘要

Although multi-stage inventory problems have received considerable attention during the last decades, only a few papers address the problem of cost-optimal coordination of multi-stage inventory control with respect to service measures. Even published papers have a shortcoming in dealing with a delivery lead time consisted of a shipping time and a waiting time. Because the difficulty of the problem increases when the uncertainty of the waiting time is introduced, the problem is often simplified into a multi-stage buffer allocation and a single-stage stochastic buffer sizing problem by assuming that there is no waiting time or that the delivery lead time is implicitly compounded of the shipping time and the waiting time. Without such assumptions, however, this paper solves the problem by a simulation-based heuristic algorithm. The simulation experimentation shows that the simulation-based heuristic algorithm performs better than other approaches in saving average inventory costs for both Poisson and Normal demands.
机译：尽管在过去的几十年中，多阶段库存控制问题受到了相当大的关注，但是只有少数几篇论文讨论了多阶段库存控制在服务措施方面的成本最优协调问题。即使是已发表的论文，在处理交货提前期（包括运输时间和等待时间）方面也存在缺陷。由于引入等待时间的不确定性后问题的难度会增加，因此通常通过假设没有等待时间或没有交付，将问题简化为多级缓冲区分配和单级随机缓冲区大小问题。交货时间隐含了运输时间和等待时间。但是，如果没有这样的假设，本文将通过基于仿真的启发式算法解决该问题。仿真实验表明，基于仿真的启发式算法在节省Poisson和Normal需求的平均库存成本方面比其他方法表现更好。

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