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A serial inventory system with supplier selection and order quantity allocation considering transportation costs

机译：考虑运输成本的具有供应商选择和订单数量分配的串行库存系统

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摘要

Given the importance of incorporating transportation costs in inventory replenishment and supplier selection decisions, this article addresses the issue of supplier selection and order quantity allocation in a multi-stage serial supply chain system with multiple suppliers considering inventory replenishment, holding, and transportation costs simultaneously. We propose a mixed integer nonlinear programming model to determine the optimal inventory policy for the stages in the supply chain and allocation of orders among the suppliers at the initial stage. Transportation costs between consecutive stages are modeled using a piecewise constant setup cost structure arising from a full truckload freight rate cost model. Vehicles of different capacities are available to transport materials from the suppliers to the manufacturing facility and between the remaining stages of the supply chain. The usefulness of the model is discussed with an example. Sensitivity analysis is carried out to determine the effect of cost parameters on supplier order allocation. The analysis shows that the selection of suppliers and the corresponding order quantities are affected by the variations in supply chain costs parameters. In addition, the advantages of using an integrated approach versus a sequential approach for inventory replenishment and supplier selection decisions are shown. Computational results show that the integrated approach yields average savings of 4.88% in total cost and 15.31% in logistics costs over the sequential approach.
机译：考虑到将运输成本纳入库存补充和供应商选择决策的重要性，本文解决了多级串行供应链系统中的供应商选择和订单数量分配问题，其中多个供应商同时考虑库存补充，持有和运输成本。我们提出了一个混合整数非线性规划模型，用于确定供应链各阶段的最佳库存策略以及初始阶段供应商之间的订单分配。连续阶段之间的运输成本是使用由完整卡车货运费率成本模型产生的分段恒定设置成本结构建模的。不同容量的车辆可用于将物料从供应商运输到制造工厂以及在供应链的其余阶段之间运输。通过示例讨论该模型的有用性。进行敏感性分析以确定成本参数对供应商订单分配的影响。分析表明，供应商选择和相应的订单数量受供应链成本参数变化的影响。此外，还显示了使用集成方法相对于顺序方法进行库存补充和供应商选择决策的优势。计算结果表明，与顺序方法相比，集成方法平均可节省总成本4.88％，节省物流成本15.31％。

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