Inventory Auditing and Replenishment Using Point‐of‐Sales Data
研究了库存记录中因损耗、过期、盗窃等导致的虚库存问题，提出了最优多项式时间算法用于审计和补货，并数值验证了服务水平阈值策略的近似最优性。
Spoilage, expiration, damage due to employee/customer handling, employee theft, and customer shoplifting usually are not reflected in inventory records. As a result, records often report phantom inventory, that is, units of good not available for sale. We derive an optimal polynomial‐time algorithm for the auditing and replenishment problem with phantom inventory, under the assumption that inventory is known immediately after replenishment. Moreover, we numerically show that a service‐level threshold policy performs comparably to the optimal.