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Formulations and branch-and-cut algorithms for multivehicle production and inventory routing problems

机译:用于多车生产和库存路由问题的公式和分支切割算法

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摘要

A retail supply chain consists of sequential activities of production, storage, and distribution, each individual process is mostly planned and optimized using predetermined decisions from its preceding activity. In other words each operation is optimized within its framework not taking into account the overall impact on the supply chain as a whole. The real optimization is possible only by treating it as an integrated planning problem. As for inventory is concerned, the total inventory of the supply chain should be optimized instead of optimizing production, whole sale and retail operations separately. This study considers both the IRP and PRP with a discrete and finite time horizon so that it will meet the overall requirements. The number of customers, periods and vehicles are represented by a, b, and c and the instances are represented by ac/bp/cv. Archetti et al. (Ref. 1) developed a branch-and-cut approach for IRP with single vehicle. Archetti et al. (Ref. 2) used the branch-and-cut approach for PRP-ML with uncapacitated production and a single vehicle. This paper considers a single product and a production-distribution network that consists of a production plant and multiple customers that have their own storage area and both may have initial inventory. In each period, each customer need to have sufficient inventory to satisfy its demand. In the case of the PRP, the plant must decide whether to produce the product and the production quantity. For production, fixed setup and unit production costs are involved. The produced quantities can be transported by a limited number of capacitated vehicles to the customers' area, and routing costs are paid. The product can also be stored at the plant or at the customers' area, and unit inventory holding costs are incurred. The cases where the customer replenishment is based on the ML and OU policies are also considered. (22 refs.).
机译:零售供应链由生产,存储和分配的顺序活动组成,每个单独的流程大多是根据其先前活动的预定决策进行计划和优化的。换句话说,每个操作都在其框架内进行了优化,而不考虑对整个供应链的总体影响。只有将其视为一个集成的计划问题,才可能实现真正的优化。至于库存,应该优化供应链的总库存,而不是分别优化生产,整个销售和零售业务。这项研究考虑了具有离散且有限时间范围的IRP和PRP,以便能够满足总体要求。客户数量,期间和车辆用a,b和c表示,实例用ac / bp / cv表示。 Archetti等。 (参考文献1)为单车IRP开发了一种分支切割方法。 Archetti等。 (参考文献2)对生产能力不高且只有一个载具的PRP-ML使用了分支切割法。本文考虑了一个产品和一个产品分销网络,该产品网络由一个生产工厂和多个拥有自己的存储区域的客户组成,并且两个客户都有初始库存。在每个期间,每个客户都需要有足够的库存来满足其需求。对于PRP,工厂必须决定是否生产产品和生产数量。对于生产,涉及固定设置和单位生产成本。可以使用数量有限的载重车辆将生产的数量运输到客户所在的地区,并支付路由费用。该产品也可以存储在工厂或客户区域,并且会产生单位库存持有成本。还考虑了基于ML和OU策略进行客户补货的情况。 (22参考。)

著录项

  • 来源
    《Operations Research》 |2015年第3期|263-265|共3页
  • 作者单位

    HEC Montreal and CIRRELT, Montreal, H3T 2A7, Canada;

    HEC Montreal and CIRRELT, Montreal, H3T 2A7, Canada;

    HEC Montreal and GERAD, Montreal, H3T 2A7, Canada;

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  • 正文语种 eng
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