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Inventory management of spare parts in an energy company

机译:能源公司备件库存管理

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We address the problem of how to determine control parameters for the inventory of spare parts of an energy company. The prevailing policy is based on an (s, S) system subject to a fill rate constraint The parameters are decided based mainly on the expert judgment of the planners at different plants. The company is pursuing to conform all planners to the same approach, and to be more cost efficient. Our work focuses on supporting these goals. We test seven demand models using real-world data for about 21 000 items. We find that significant differences in cost and service level may appear from using one or another model. We propose a decision rule to select an appropriate model. Our approach allows us to recommend control parameters for 97.9 of the items. We also explore the impact of pooling inventory for different demand sources and the inaccuracy arising from duplicate item codes.
机译:我们解决了如何确定能源公司备件库存控制参数的问题。现行政策基于受填充率约束的(s,S)系统,参数主要根据不同工厂规划人员的专家判断来决定。该公司正在寻求使所有规划人员都采用相同的方法,并提高成本效益。我们的工作重点是支持这些目标。我们使用真实世界的数据测试了大约 21,000 个项目的需求模型。我们发现,使用一种或另一种模型可能会出现成本和服务水平的显着差异。我们提出了一个决策规则来选择合适的模型。我们的方法允许我们推荐 97.9% 的项目的控制参数。我们还探讨了汇集不同需求来源的库存的影响以及重复项目代码导致的不准确。

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