ArticleScientific reports2025
Model based planning and layout optimization for multilevel express processing centers through A case study of air express sorting center.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The construction of multi-level express processing centers constitutes a core strategy for addressing escalating logistical demands, with the layout planning of these hubs significantly impacting the efficiency, cost-effectiveness, and customer satisfaction associated with express delivery services. However, two significant limitations were identified in traditional planning processes: insufficient modeling capabilities and an excessive reliance on experiential knowledge in planning and design. This study proposes a planning model for express parcel handling centers that accounts for multi-level demands. The core of this approach lies in integrating key elements, such as functional area division and correlation values, into the layout planning analysis framework. An improved Genetic Algorithm (GA) is incorporated into the system layout design method, and it realizes automated layout planning of express parcel sorting and handling centers. A case study conducted on an air logistics center demonstrates the feasibility, effectiveness, and applicability of the proposed method. The results indicate that this approach can increase space utilization by 15-28%.This research not only provides innovative perspectives and solutions for layout decision-making in multi-level express processing centers but also offers a framework that can be adapted to complex layout optimization challenges across various industries beyond logistics. By optimizing the layout of express processing centers, it enables faster delivery times, improves resource utilization, and lowers energy consumption, delivering tangible benefits to both businesses and consumers.
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