Lagrange relaxation decomposition for synchronized production and transportation planning with flexible vehicles

Jiafu Tang, K. Yung, Shixin Liu
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引用次数: 7

Abstract

Effective management of interfaces between procurement, supply, production and distribution as a whole towards higher efficiency of supply chain is an important issue in a global manufacturing environment, where coordination of production and distribution particularly synchronization of production and transportation planning becomes an important savings in operational costs. A synchronized production and transportation planning for a production distribution network is discussed in this paper. In the production-distribution network, transportation business is subcontracted to professional transportation enterprise (PTE), e.g. 3PL in a vehicle-rent way. The problem addressed tries to determine not only the synchronized schedule of production and transportation (when and in what quantity each product is produced and for alignment with the shipment), but also the number of vehicles required towards minimum total costs of production set-up, inventory, transportation and rent costs in vehicles over the planning horizon. A non-linear 0-1 mixed integer programming is developed and a Lagrange relaxation decomposition method is proposed.
柔性车辆同步生产与运输规划的拉格朗日松弛分解
在全球制造环境中,有效管理采购、供应、生产和分销之间的接口,以提高供应链的效率是一个重要的问题,在全球制造环境中,生产和分销的协调,特别是生产和运输计划的同步,成为节约运营成本的重要手段。本文讨论了生产配送网络的同步生产和运输规划问题。在生产-分销网络中,运输业务以租车方式分包给专业运输企业(PTE),如第三方物流(3PL)。所解决的问题不仅试图确定生产和运输的同步时间表(每种产品的生产时间和数量以及与运输的一致性),还试图确定在计划范围内实现生产设置、库存、运输和车辆租赁成本的最低总成本所需的车辆数量。提出了一种非线性0-1混合整数规划方法,并提出了拉格朗日松弛分解方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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