Research on an Automatic Goods Zone Allocation Model for Multi-Story Warehouses Based on Multi-Dimensional Parameter Control and Machine Vision Applications

Bin Ye (), Nan Zhou, Lingfei Zhu, Lin Chen, Shanjie Yang and Chao Yu
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Bin Ye: China Tobacco Zhejiang Industrial Co., Ltd
Nan Zhou: China Tobacco Yunnan Industrial Co., Ltd
Lingfei Zhu: China Tobacco Zhejiang Industrial Co., Ltd
Lin Chen: China Tobacco Zhejiang Industrial Co., Ltd
Shanjie Yang: China Tobacco Zhejiang Industrial Co., Ltd
Chao Yu: China Tobacco Zhejiang Industrial Co., Ltd

A chapter in Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025), 2025, pp 361-371 from Springer

Abstract: Abstract To optimize the internal distribution of goods and achieve automatic zone allocation for fast-moving consumer goods during the inbound process, thereby reducing internal handling costs, this study introduces control parameters related to daily outbound volume, outbound frequency, and inventory-sales ratio. The inventory-sales ratio at the building and floor levels is used as the basis for determining floor allocation, while daily outbound volume and brand relevance serve as the criteria for specific location selection. By integrating machine vision to collect vehicle information, a model for automatic zone allocation in multi-story warehouses is established. Empirical results show that: (1) 100% automatic zone allocation is achieved upon goods receipt; (2) internal goods transfer volume is reduced by 65.29%. The findings demonstrate the effectiveness of the proposed model in multi-story warehouse applications.

Keywords: Outbound frequency; daily outbound volume; inventory-sales ratio; automatic zone allocation; machine vision (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-916-2_40

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DOI: 10.2991/978-94-6463-916-2_40

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