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Research on Quality Management of Urban Rail Transit Vehicle Frame Overhaul Project Read chapter Read first chapter

2023 | OriginalPaper | Chapter

33. DUWP: A Dynamic Unmanned Warehouse Partition Model for Balancing Commodity Allocation

Authors : Ben Li, Lyuchao Liao, Wenqing Zhao, Hankun Xiao, Youpeng He

Published in: Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Publisher: Springer Nature Singapore

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Abstract

The rapid growth of e-commerce provides an excellent opportunity for the logistics and warehousing industry. With Automated Guided Vehicles (AGVs) widely used in warehouses, Unmanned Warehouse Management (UWM) has received great attention. However, UWM faces many challenges: (1) the problems of imbalanced commodity division; (2) the unreasonable layout of the warehouse working area coordination. To deal with these challenges, we design a dynamic unmanned warehouse partition (DUWP) model, consisting of geographical static matching and dynamic division of commodity volume to comprehensively alleviate the problem of imbalanced unmanned warehouse partition. The former optimizes partition by distance nearest principle for position matching. The latter performs secondary optimization by information entropy maximization theory. Experiments on real-world unmanned warehouse datasets verify the effectiveness, accuracy, and feasibility of the proposed DUWP model.

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Metadata
Title
DUWP: A Dynamic Unmanned Warehouse Partition Model for Balancing Commodity Allocation
Authors
Ben Li
Lyuchao Liao
Wenqing Zhao
Hankun Xiao
Youpeng He
Copyright Year
2023
Publisher
Springer Nature Singapore
Book
Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Print ISBN: 978-981-9908-47-9

Electronic ISBN: 978-981-9908-48-6

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-981-99-0848-6_34

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