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Evaluation of cycle-count policies for supply chains with inventory inaccuracy and implications on RFID investments

机译:评估库存不准确的供应链周期计数策略及其对RFID投资的影响

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Inventory record inaccuracy leads to ineffective replenishment decisions and deteriorates supply chain performance. Conducting cycle counts (i.e., periodic inventory auditing) is a common approach to correcting inventory records. It is not clear, however, how inaccuracy at different locations affects supply chain performance and how an effective cycle-count program for a multi-stage supply chain should be designed. This paper aims to answer these questions by considering a serial supply chain that has inventory record inaccuracy and operates under local base-stock policies. A random error, representing a stock loss, such as shrinkage or spoilage, reduces the physical inventory at each location in each period. The errors are cumulative and are not observed until a location performs a cycle count. We provide a simple recursion to evaluate the system cost and propose a heuristic to obtain effective base-stock levels. For a two-stage system with identical error distributions and counting costs, we prove that it is more effective to conduct more frequent cycle counts at the downstream stage. In a numerical study for more general systems, we find that location (proximity to the customer), error rates, and counting costs are primary factors that determine which stages should get a higher priority when allocating cycle counts. However, it is in general not effective to allocate all cycle counts to the priority stages only. One should balance cycle counts between priority stages and non-priority stages by considering secondary factors such as lead times, holding costs, and the supply chain length. In particular, more cycle counts should be allocated to a stage when the ratio of its lead time to the total system lead time is small and the ratio of its holding cost to the total system holding cost is large. In addition, more cycle counts should be allocated to downstream stages when the number of stages in the supply chain is large. The analysis and insights generated from our study can be used to design guidelines or scorecard systems that help managers design better cycle-count policies. Finally, we discuss implications of our study on RFID investments in a supply chain.
机译:库存记录的不准确性会导致无效的补货决策并降低供应链的绩效。进行周期盘点(即定期库存审核)是更正库存记录的常用方法。但是,尚不清楚不同地点的不准确性如何影响供应链绩效,以及应如何针对多阶段供应链设计有效的周期计数程序。本文旨在通过考虑具有库存记录不准确且在当地基础库存政策下运作的串行供应链来回答这些问题。代表库存损失(例如收缩或损坏)的随机误差会减少每个期间每个位置的实际库存。错误是累积性的,只有在位置执行周期计数后才能观察到。我们提供了一个简单的递归来评估系统成本,并提出启发式方法以获得有效的基本库存水平。对于具有相同误差分布和计数成本的两阶段系统,我们证明了在下游阶段执行更频繁的循环计数更为有效。在针对更通用系统的数值研究中,我们发现位置(对客户的接近程度),错误率和计数成本是决定哪些阶段应分配循环计数时更高优先级的主要因素。但是,将所有循环计数仅分配给优先级通常是无效的。一个人应该通过考虑诸如交货时间,持有成本和供应链长度等次要因素来平衡优先级和非优先级之间的周期计数。特别是,应该为一个阶段分配更多的周期计数,该阶段的提前期与总系统提前期之比较小,而其持有成本与总系统持有成本之比则较大。此外,当供应链中的阶段数很大时,应将更多的周期计数分配给下游阶段。从我们的研究中得出的分析和见解可用于设计准则或计分卡系统,以帮助管理人员设计更好的周期计数策略。最后,我们讨论了我们的研究对供应链中RFID投资的影响。

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