Synchronization Of Production And Logistics Based Dynamic Optimization Method For Product Warehousing Under The Internet-of-Things Environment

Manufacturing enterprises of China, especially the Pearl River delta’s manufacturing which high concentration and stubbornly high cost of land use fees, use the plane warehouse storage way for finished goods warehouse is relatively common. The traditional planar finished goods warehouse’s aisle planning is still rely on artificial experience, which waste a lot of manpower. And it is difficult to ensure the aisle planning results can be achieved the highest storage efficiency, especially in the case of a lot of orders. Workshop daily production order has a certain uncertainty and randomness. And workshop’s practical production impossible in strict accordance with the production plan. The uncertainties of the production plan orders for aisle planning presented a huge challenge, which greatly increasing the difficulty of artificial aisle planning. The new Industry 4.0 strategy defines the automatic interaction and dynamic synchronization among multiple production sub-systems under Manufacturing Internet of Things (MIOT) enabled environment, aiming at maintaining the whole system in an optimally operating status. The synchronization of production and logistics sub-systems could largely enhance the overall production efficiency, yet how to vertically enable the dynamic adaption between decision and execution levels and at the same time to horizontally enable the global coordination among production and logistics sub-systems remain two key challenges of finally achieving the dynamic synchronization of production and logistics.In order to solve the two key issues, a MIOT-enabled dynamic production-logistics synchronization framework is proposed, which extends the AUTOM information infrastructure to a production-logistics-adapted new infrastructure which supports multi-level and multi-stage seamless information exchanging, and then puts forward a multi-iteration adaptive decision mechanism to enable the synchronization of production and logistics. A more realistic and better method for product warehousing, which is called dynamic optimization method, is also proposed with the mechanism. Then using Collaborative Optimization Algorithm for mathematical modelling and solving. This mathematical model is verified through a workshop on collaborative optimization aisle planning method can increase storage efficiency and utilization of warehousing, comparing with the method that does not collaborate with workshop. Finally, a practical industrial case of production-warehousing synchronization is used to demonstrate the proposed solution. A feasible MIOT-based application framework and system is provided, which enable the dynamic operation coordination and adaptive decision-making of large production system.