Information inaccuracy in inventory systems: stock loss and stockout
Information inaccuracy in inventory systems: stock loss and stockout
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DOI：
10.1080/07408170590969861
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发表时间：
2005-09
期刊：
影响因子：
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通讯作者：
Yunyi Kang;S. Gershwin
中科院分区：
文献类型：
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作者：
Yunyi Kang;S. Gershwin
许多公司已经实现了库存管理流程的自动化，现在在做出关键决策时依赖于信息系统。然而，如果信息不准确，系统以最小的运营成本提供高可用性产品的能力可能会受到损害。在本文中，分析和模拟建模表明，即使是一个小的库存损失率未被信息系统检测到可能会导致库存不准确，扰乱补货过程，并创造严重的缺货情况。事实上，由于缺货情况造成的收入损失可能远远超过库存损失本身。在精益环境中运行的系统中，性能对库存不准确性的这种敏感性变得更大。受麻省理工学院自动识别中心正在开发的自动产品识别技术的启发，提出并评估了补偿库存不准确性的各种方法。通过比较发现，在某些情况下，即使没有自动产品识别技术，也可以有效地处理库存不准确问题。
Many companies have automated their inventory management processes and now rely on information systems when making critical decisions. However, if the information is inaccurate, the ability of the system to provide a high availability of products at the minimal operating cost can be compromised. In this paper, analytical and simulation modelling demonstrate that even a small rate of stock loss undetected by the information system can lead to inventory inaccuracy that disrupts the replenishment process and creates severe out-of-stock situations. In fact, revenue losses due to out-of-stock situations can far outweigh the stock losses themselves. This sensitivity of the performance to the inventory inaccuracy becomes even greater in systems operating in lean environments. Motivated by an automatic product identification technology under development at the Auto-ID Center at MIT, various methods of compensating for the inventory inaccuracy are presented and evaluated. Comparisons of the methods reveal that the inventory inaccuracy problem can be effectively treated even without automatic product identification technologies in some situations.