Inventory Auditing and Replenishment Using Point-of-Sales Data

• 成果类型: Article
• 署名作者: Bassamboo, Achal; Moreno, Antonio; Stamatopoulos, Ioannis
• 署名单位: Northwestern University; Harvard University; University of Texas System; University of Texas Austin
• 刊物名称: PRODUCTION AND OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1059-1478
• DOI: 10.1111/poms.13153
• 发表日期: 2020
• 页码: 1219-1231
• 关键词: record inaccuracy; retail store; systems; visibility; policies; demand

摘要

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.