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On-line Supply Chain Scheduling Problem with Capacity Limited Vehicles

机译:容量受限车辆的在线供应链调度问题

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This paper studies the on-line supply chain scheduling problem for single machine with multiple customers under the constraint of the unlimited number of vehicles but limited vehicle capacity. The customers place their orders on-line, which means that no information of future jobs is known beforehand. The jobs are processed on a single machine and then delivered to the customers by vehicles. Every vehicle can only contain the jobs of the same customer and every batch has the same fixed cost. The objective of the scheduling is to minimize the total makespan and the total delivery cost. Such a problem is called on-line problem. An on-line algorithm for the problem is designed, which is proved to be 2 + 2-competitive. The paper also presents a case study for demonstrating the robustness and efficiency of the algorithm.
机译:本文研究了无限制车辆数但车辆容量有限的约束下多客户单机的在线供应链调度问题。客户在线下订单,这意味着没有关于未来工作的信息。作业在单台机器上处理,然后通过车辆交付给客户。每辆车只能容纳同一位客户的工作,并且每一批都有相同的固定成本。调度的目的是最大程度地减少总制造时间和总交付成本。这样的问题称为在线问题。设计了该问题的在线算法,证明了该算法具有2 + 2竞争性。本文还提供了一个案例研究,以证明该算法的鲁棒性和效率。

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