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An Integrated Implementation Framework for Warehouse 4.0 Based on Inbound and Outbound Operations

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Julkaisussa:Mathematics vol. 13, no. 14 (2025), p. 2276-2302
Päätekijä: Jizhuang, Hui
Muut tekijät: Zhi Shaowei, Liu, Weichen, Chu Changhao, Zhang, Fuqiang
Julkaistu:
MDPI AG
Aiheet:
Swarm intelligence
Cranes
Collaboration
Time management
Order quantity
Automation
Order picking
Queuing theory
Internet of Things
Efficiency
Order processing
Scheduling
Costs
Genetic algorithms
Resource scheduling
Algorithms
Supply chains
Linear programming
Real time
Logistics
Warehouses
Optimization algorithms
Inventory
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Abstrakti:Warehouse 4.0 adopts automation, IoT, and big data technologies to establish an intelligent warehousing system for efficient, real-time management of storage, handling, and picking. Addressing challenges like unreasonable storage allocation and inefficient order fulfillment, this paper presents an integrated framework that utilizes swarm intelligence algorithms and collaborative scheduling strategies to optimize inbound/outbound operations. First, for inbound processes, an algorithm-driven storage allocation model is proposed to solve stacker crane scheduling problems. Then, for outbound operations, a “1+N+M” mathematical model is developed, optimized through a three-stage algorithm addressing order picking and distribution scheduling. Finally, a case study of an industrial warehouse validates the proposed methods. The improved mayfly algorithm demonstrates excellent performance, achieving 64.5–74.5% faster convergence and 20.1–24.7% lower fitness values compared to traditional algorithms. The three-stage approach reduces order fulfillment time by 12% and average processing time by 1.8% versus conventional methods. These results confirm the framework’s effectiveness in enhancing warehouse operational efficiency through intelligent automation and optimized resource scheduling.
ISSN:2227-7390
DOI:10.3390/math13142276
Lähde:Engineering Database