Exploring the relationship between routing policies and market demand heterogeneity: A simulation analysis with different hardware and software configurations in traditional warehouses

IF 10.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Industrial Information Integration Pub Date : 2024-05-14 DOI:10.1016/j.jii.2024.100634

Michele Bocelli, Eleonora Bottani, Andrea Volpi, Federico Solari, Natalya Lysova, Roberto Montanari

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引用次数: 0

Abstract

This study presents a simulative tool designed to evaluate quantitatively the performance of the order picking process in a traditional warehouse with double-sided racks; performance is measured as the distance covered by the picker when carrying out a single task. Using the simulation tool, different warehouse configurations can be generated by changing both hardware (shape factor and input-output position of the picker) and software (routing policy, distribution of the demand of products and number of items in the picking list) input parameters. Then, the outcomes (distance travelled) obtained with the tool are analysed, with a particular focus on the relationship between the routing policy and the level of heterogeneity in the market demand for the products available in the warehouse, which implies changes in the product allocation. The study concludes with important results about the impact of the warehouse geometry itself on the performance of the routing policy. Finally, suggestions are offered for future studies in the field.

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探索路由政策与市场需求异质性之间的关系：传统仓库中不同硬件和软件配置的仿真分析

本研究提出了一种模拟工具，用于定量评估双面货架传统仓库中订单分拣流程的性能；性能以分拣员执行单项任务时的距离来衡量。使用该模拟工具，可以通过改变硬件（拣选机的形状系数和输入输出位置）和软件（路由策略、产品需求分布和拣选清单中的物品数量）输入参数来生成不同的仓库配置。然后，对使用该工具获得的结果（行驶距离）进行分析，重点是路由政策与市场对仓库现有产品需求的异质性之间的关系，这意味着产品分配的变化。研究最后得出了仓库几何形状本身对路径选择政策性能影响的重要结果。最后，对该领域的未来研究提出了建议。

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

Journal of Industrial Information Integration Decision Sciences-Information Systems and Management

CiteScore

22.30

自引率

13.40%

发文量

100

期刊介绍： The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.