研究了齐套制造企业在"生产—物流"运作过程中的动态联动问题,考虑由多个生产车间,一个包装车间和一个仓库组成的"生产—物流"系统.针对齐套制造中动态性所带来的多维度影响,分析了在"生产—物流"运作过程中动态性的影响范围,将传统的AUTOM标准物联网信息基础架构扩展为支持多层级、多阶段的"生产—物流"齐套联动信息架构,并在该基础匕提出面向齐套制造的三层两阶段齐套联动机制.最后结合课题组为某大型化工产品制造企业研发的"生产—物流"管理系统,从中提出实际订单数据,并针对顾客需求临时变动所引起的动态性,采用基于遗传算法(GA)的目标级联法(ATC)进行联动优化.结果表明,相比于AIO联动优化和非齐套联动优化,本文提出的齐套联动方法不仅能够有效地提高订单齐套水平,同时还能降低"生产—物流"系统总成本.在齐套制造企业的实际"生产—物流"运作过程中,该解决方案为大型制造企业的计划精准制定和控制自主决策提供了有效的应用框架与实现手段.%Dynamic synchronization of Production-Logistics (PL) in kitting manufacturing enterprise is studied. Considering the PL system which includes multi-Plant, a Packing workshop and a Warehouse and aiming at the multi-dimension influence brought by dynamics in kitting manufacturing, an analysis is conducted into the dynamic effect scope in production logistics operation process, extending the AUTOM information infrastructure to a multi-level, multi-stagedynamic kitting synchronization information framework adapted to PL , and then introducing a kitting-manufacturing-adapted three-tier, two-stage kitting synchronization mechanism. Finally, with the order data extracted from the PL system of a chemical manufacturing enterprise, adopting GA-based target cascading (ATC) method, the dynamic caused by customer demand changes is solved. Result shows the optimization result from ATC-based kitting synchronization performance is better than AIO-based kitting synchronization and un-kitting synchronization, with not only kitting standard increased but system total cost also declined. In the PL of a kitting manufacturing enterprise, this solution provides an effective application framework and feasible method to enforce the precise plan formulation and adaptive decision-making of a big kitting manufacturing enterprise.
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