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Multiple Customers/Transporters Integrated Scheduling Problem to Minimize the Total Cost

机译:多个客户/运输商集成调度问题以最小化总成本

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In this paper, a Multiple Customers/Transporters Integrated Scheduling Problem is presented and analyzed.The objective is to minimize the total cost i.e. the delivery and inventory costs over the entire supply chain. Two methods of resolution are then presented and compared. The first one is a dedicated branch and bound, and the second one is commercial solver based on a MIP formulation of the considered problem. Their performances have been evaluated by comparing the resolution time required by each method as the number of transporter, customers and jobs increase. The experimental results show that the Branch and Bound algorithm is much more efficient than CPLEX solver for this problem.
机译:在本文中,提出并分析了一个多客户/运输商综合调度问题,目的是使总成本(即整个供应链中的交货和库存成本)最小化。然后提出并比较了两种解决方法。第一个是专用分支定界,第二个是基于所考虑问题的MIP公式的商业求解器。通过比较每种方法所需的解决时间(随着运输商,客户和工作数量的增加)来评估其性能。实验结果表明,对于该问题,Branch and Bound算法比CPLEX求解器效率更高。

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