Two-Phase Newsvendor with Optimally Timed Additional Replenishment: Model, Algorithm, Case Study
成果类型:
Article
署名作者:
Smirnov, Dina; Herer, Yale T.; Avrahami, Assaf
署名单位:
Eindhoven University of Technology; Technion Israel Institute of Technology
刊物名称:
PRODUCTION AND OPERATIONS MANAGEMENT
ISSN/ISSBN:
1059-1478
DOI:
10.1111/poms.13408
发表日期:
2021
页码:
2871-2889
关键词:
print industry
newsvendor
two phases
additional review
replenishment timing
摘要:
Recent advancements in Information Technology have provided an opportunity to significantly improve the effectiveness of inventory systems. The use of in-cycle demand information enables faster reaction to demand fluctuations. In particular, for the newsvendor (NV) system, we exploit the newly available data to perform an additional review (AR) of inventory at an endogenously determined, a priori set time during the sales period, and perform an additional replenishment if necessary. We implemented our innovative model at a market-leading media group. The results of the initial pilot were dramatic, indicating that the proposed model achieves an increase of 4%-24% in profits compared to the policy before implementation. As a result, the company started following the proposed model for all their printed magazines and observed a significant reduction in operational costs. In a generalized setting, we provide a tractable search-based optimization algorithm, based on the problem's structural properties, for determining the optimal initial quantity, AR timing, and quantity to restock at that time. Based on these theoretical results, we propose a simple heuristic that can be used for many practical situations including our implementation at Yedioth. Through a computational experiment, we show that our algorithm finds the optimal solution quickly and that the proposed heuristic performs well. We also provide additional insights into the problem-for instance, that our system exhibits properties similar to inventory pooling, provided that the demand rate is large enough.
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