基於物聯網的"生產—物流"動態齊套聯動問題分析及其解決方案

研究了齊套製造企業在"生產—物流"運作過程中的動態聯動問題,考慮由多個生產車間,一個包裝車間和一個倉庫組成的"生產—物流"係統.針對齊套製造中動態性所帶來的多維度影響,分析了在"生產—物流"運作過程中動態性的影響範圍,將傳統的AUTOM標準物聯網信息基礎架構擴展為支持多層級,多階段的"生產—物流"齊套聯動信息架構,並在該基礎匕提出麵向齊套製造的三層兩階段齊套聯動機製.最後結合課題組為某大型化工產品製造企業研發的"生產—物流"管理係統,從中提出實際訂單數據,並針對顧客需求臨時變動所引起的動態性,采用基於遺傳算法(GA)的目標級聯法(ATC)進行聯動優化.結果表明,相比於AIO聯動優化和非齊套聯動優化,本文提出的齊套聯動方法不僅能夠有效地提高訂單齊套水平,同時還能降低"生產—物流"係統總成本.在齊套製造企業的實際"生產—物流"運作過程中,該解決方案為大型製造企業的計劃精準製定和控製自主決策提供了有效的應用框架與實現手段.%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.

基於物聯網的"生產—物流"動態齊套聯動問題分析及其解決方案

研究了齊套製造企業在"生產—物流"運作過程中的動態聯動問題,考慮由多個生產車間,一個包裝車間和一個倉庫組成的"生產—物流"係統.針對齊套製造中動態性所帶來的多維度影響,分析了在"生產—物流"運作過程中動態性的影響範圍,將傳統的AUTOM標準物聯網信息基礎架構擴展為支持多層級,多階段的"生產—物流"齊套聯動信息架構,並在該基礎匕提出麵向齊套製造的三層兩階段齊套聯動機製.最後結合課題組為某大型化工產品製造企業研發的"生產—物流"管理係統,從中提出實際訂單數據,並針對顧客需求臨時變動所引起的動態性,采用基於遺傳算法(GA)的目標級聯法(ATC)進行聯動優化.結果表明,相比於AIO聯動優化和非齊套聯動優化,本文提出的齊套聯動方法不僅能夠有效地提高訂單齊套水平,同時還能降低"生產—物流"係統總成本.在齊套製造企業的實際"生產—物流"運作過程中,該解決方案為大型製造企業的計劃精準製定和控製自主決策提供了有效的應用框架與實現手段.%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.