Resource Pooling in Hyperconnected Warehouse Networks

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Pang, Yaxin
Klibi, Walid
Labarthe, Olivier
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Abstract
This paper investigates the potential of hyperconnected warehouse networks under the Physical Internet framework to address pressing challenges faced by logistics service providers, including labor shortages, escalating costs of advanced automation, and demand volatility. We propose a new paradigm—the hyperconnected warehouse network—where geographically proximate warehouses pool resources (e.g., labor, machinery) and share realtime demand data to enable dynamic, cost-efficient resource deployment. To operationalize this concept, we first formulate a tactical resource allocation problem and develop a mixed-integer linear programming model that minimizes total costs, incorporating expenses related to resource utilization, resource transfers, and workforce preference mismatches. The proposed model focuses on the intranet within one stakeholder, i.e., logistics service provider, which is a fundamental step towards hyperconnected warehouse network. Illustrative examples showcase the benefits of warehouse intranet in operation and cost efficiency.
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2025-06
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Proceedings
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