文献类型：期刊文献

英文题名：Backroom effect on perishable inventory management with IoT information

作者：Li, Lin[1];Tang, Ou[2];Zhou, Wei[3,4];Fan, Tijun[1]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]Linkoping Univ, Dept Management & Engn, Div Prod Econ, Linkoping, Sweden;[3]ESCP Business Sch, Informat & Operat Management, Paris, France;[4]Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Transportat Engn, Shanghai, Peoples R China

年份：2023

卷号：61

期号：12

起止页码：4157

外文期刊名：INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

收录：;EI(收录号：20214211041480);WOS:【SCI-EXPANDED(收录号:WOS:000707597000001)】；

基金：This work was supported by the Key Program of National Natural Science of China (72032001), the National Natural Science Foundation of China (71972071), the National Natural Science Foundation of China (71671067), and the Fundamental Research Funds for the Central Universities.

语种：英文

外文关键词：Backroom effect; shelf-space; inventory management; perishable product; IoT

摘要：We introduce an original concept of the backroom effect for perishable products when the deterioration rate in a backroom is lower than that on retail shelves. With IoT-generated real-time information about the perishable products, this phenomenon has a significant impact on joint shelf-space and inventory decisions. We define the deterioration rate gap, formulate the perceived on-shelf product freshness, and describe the freshness-dependent demand distribution, with continuous backroom-shelf replenishment. Assuming that demand depends on both perceived freshness and shelf level, we develop a decision-making model that simultaneously determines the inventory replenishment policy and the shelf space allocation for multiple items. To facilitate the solution process, we propose a hybrid solution approach by combining genetic algorithm (GA) and variable neighbourhood search (VNS). The results provide a prioritised inventory policy for item selection that incorporates the deterioration improvement. The results of the performance analysis show that a policy considering the backroom effect achieves increased profit when the backroom/shelf deterioration gap increases. The optimal solutions for the problems with large backroom/shelf gap also show that the practitioner should increase the ordering quantity, which is contradictory to the outcome of traditional models.