Pack size effects on retail store inventory and storage space needs

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Lita Das, Andre L. Carrel, C. Caplice
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引用次数: 1

Abstract

Abstract Due to constraints on pack sizes in which products are shipped to retail stores, excess inventory can accumulate in stores. In order to optimize the allocation of store space between storage and customer-facing areas, simple expressions are required for backroom inventory levels that can be inserted into optimization models. This paper systematically investigates the effect of pack size constraints on in-store inventory and storage space needs. The context and problem definition are based on a limited service restaurant setting. An approximation for the distribution of inventory positions after replenishment is proposed, and its accuracy is compared to results obtained from simulation. Furthermore, the effect of pack size constraints on the probability of stock-outs is derived. The expressions are found to be good approximations that are usable in complex optimization models for store space allocation. Building on these results, we perform exploratory analyses and demonstrate how increasing pack sizes increases service levels but also removes revenue-generating frontroom space because by increasing backroom space requirements.
包装大小影响零售商店的库存和存储空间需求
由于包装尺寸的限制,产品被运送到零售商店,过剩的库存可以积累在商店。为了优化存储区域和面向客户区域之间的存储空间分配,需要将后台库存水平的简单表达式插入到优化模型中。本文系统地研究了包装尺寸约束对库存和存储空间需求的影响。上下文和问题定义是基于一个有限服务的餐厅设置。提出了补货后库存位置分布的近似表达式,并与仿真结果进行了精度比较。进一步推导了包装尺寸约束对缺货概率的影响。这些表达式是很好的近似,可用于复杂的存储空间分配优化模型。在这些结果的基础上,我们进行了探索性分析,并演示了增加包装大小如何提高服务水平,但也减少了产生收入的前厅空间,因为增加了后厅空间的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Infor
Infor 管理科学-计算机:信息系统
CiteScore
2.60
自引率
7.70%
发文量
16
审稿时长
>12 weeks
期刊介绍: INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.
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