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A synchronized production-warehouse management solution for reengineering the online-offline integrated order fulfillment

机译:用于重新设计在线-离线集成订单履行的同步生产仓库管理解决方案

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摘要

To improve efficiency in handling online-offline integrated orders, this study aims to reengineer the fulfillment process of production and warehousing in manufacturing enterprises. A two-stage synchronized production-warehouse decision mechanism is proposed based on the postponement strategy. First of all, a decision is made to optimally sequence and assign products of the online and offline orders to production machines to minimize each order's longest processing time. Then, the optimization objective is to minimize the mean warehouse space occupation time of all customer orders by dynamically sequencing all original products and sub-products. The ant colony optimization for production decisions and genetic algorithm for warehousing decisions are also integrated. Results of the case study show that the proposed solution can provide a more flexible and efficient way to deal with dynamic and discrete online orders compared with traditional offline orders, even in the case of online-offline order pattern variations.
机译:为了提高处理在线-离线集成订单的效率,本研究旨在重新设计制造企业中生产和仓储的执行过程。提出了基于延迟策略的两阶段同步生产仓库决策机制。首先,决定对在线和离线订单的产品进行最佳排序并将其分配给生产机器,以最大程度地减少每个订单的最长处理时间。然后,优化目标是通过对所有原始产品和子产品进行动态排序,最大程度地减少所有客户订单的平均仓库空间占用时间。还集成了用于生产决策的蚁群优化和用于仓库决策的遗传算法。案例研究结果表明,与传统的离线订单相比,即使在在线-离线订单模式变化的情况下,所提出的解决方案也可以提供一种更加灵活有效的方式来处理动态和离散的在线订单。

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