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A Multiperiod Vehicle Lease Planning for Urban Freight Consolidation Network

机译:城市货运整合网络的多期车辆租赁计划

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摘要

This paper considers a multiperiod vehicle lease planning problem for urban freight consolidation centers (UFCCs) in the urban freight transport network where short-term-leased and long-term-leased vehicles are hired together. The objective is to allocate the two kinds of leased vehicles optimally for direct transportation services from the associated origin node to the associated UFCC or from the associated UFCC to the associated destinations so as to satisfy a given set of period-to-period freight demands over a given planning horizon at total minimum vehicle allocation cost subject to demand-dependent transportation time restriction. The problem is formulated as an integer programming model and proven to be NP-hard in a strong sense. Thus, a Lagrangian heuristic is proposed to find a good solution efficiently. Numerical experiments show that the proposed algorithm finds good lower and upper bounds within reasonable time.
机译:本文考虑了城市货运运输网络中的城市货运合并中心(UFCC)的多期车辆租赁计划问题,在该网络中,租用了短期租赁和长期租赁的车辆。目的是为从相关联的原始节点到相关联的UFCC或从相关联的UFCC到相关联的目的地的直接运输服务最优地分配两种租用车辆,以满足在一定时期内给定的一组定期货运需求以总的最小车辆分配成本为基础的给定规划范围,但要取决于需求相关的运输时间限制。该问题被公式化为整数编程模型,并在很强的程度上证明是NP难的。因此,提出了拉格朗日启发式算法以有效地找到良好的解决方案。数值实验表明,该算法在合理的时间内找到了较好的上下限。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第21期|921482.1-921482.15|共15页
  • 作者单位

    Korea Investment & Secur, Seoul 1507450, South Korea;

    Korea Univ, Sch Ind Management Engn, Seoul 136713, South Korea;

    Incheon Natl Univ, Grad Sch Logist, Inchon 406130, South Korea;

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