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Flexible supply network planning for hybrid shipment: a case study of memory module industry

机译:混合运输的灵活供应网络计划:以内存模块行业为例

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摘要

The modern supply chain network has geographically spread out across the globe. The performance of a customer service level is highly dependent on the effectiveness of its supply chain planning. To improve the service provided to downstream customers, planners must not only decide order allocation among multiple distribution centres but also consider reducing the order-to-delivery time. Directed shipment delivery from manufacturing sites provides the flexibility of direct shipment; however, it also makes order allocation more difficult. In this study, a flexible supply network planning (FSNP) model based on integer linear programming is developed for the memory module industry. In addition to multisite order allocation planning, the FSNP model explicitly considers directed shipment from manufacturing sites for reducing the order-to-delivery time. Furthermore, the combination of characteristics of the memory module industry, such as multilevel and multisite production environments, multiple-to-multiple product structures, transportation and production lead times and capacity constraints, makes FSNP highly complicated. The results of the experiments reveal that the FSNP model improves supply chain planning regarding order due date and inventory and transportation costs.
机译:现代供应链网络已在全球范围内分布。客户服务水平的绩效高度依赖于其供应链计划的有效性。为了改善向下游客户提供的服务,计划人员不仅必须确定多个配送中心之间的订单分配,还必须考虑减少订单到交货时间。从制造地点直接发货可提供直接发货的灵活性;但是,这也使订单分配更加困难。在这项研究中,为存储模块行业开发了基于整数线性规划的灵活供应网络计划(FSNP)模型。除了多站点订单分配计划外,FSNP模型还明确考虑了从制造站点进行的直接装运,以减少订单到交货的时间。此外,存储模块行业的特征(例如多级和多站点生产环境,多对多产品结构,运输和生产交付时间以及容量限制)的组合使FSNP变得非常复杂。实验结果表明,FSNP模型改善了有关订单到期日以及库存和运输成本的供应链计划。

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