Synchromodality Service Planning and Procurement in a Global Logistics Platform: A Bi-level Programming Approach
Author(s)
Kong, Xiangtianrui
Gong, Tianai
Zhang, Lele
Thompson, Russell G.
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Abstract
With the evolution of global supply chains and trade patterns, synchromodality has emerged as a crucial logistics model to meet shippers' demands for reliability, flexibility, and security. However, existing global logistics digital platforms face challenges in balancing supply and demand, decisionmaking mechanisms, and multi-objective collaborative optimization, which hinder the efficiency of synchromodality. To address these issues, this paper proposes an optimal synchromodality service planning and procurement model based on bi-level programming. The upper level is the synchromodality routing planning (SRP) model, which optimizes transportation mode selection and routing to minimize total transportation time. The lower level is the winner determination problem (WDP) model for transportation service procurement through combinatorial auctions, using the O-VCG mechanism to select carriers to minimize total transportation costs. Numerical experiments demonstrate that the model reduces transportation time by 10.3% and transportation costs by 6.6%, validating its effectiveness. This model provides new insights and tools for theoretical research on synchromodality and the optimization of international logistics platforms
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Date
2025-06
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Text
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Proceedings
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