tailieunhanh - Supply Chain Management Part 4

Tham khảo tài liệu 'supply chain management part 4', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Supply Chain Management Based on Modeling Simulation State of the Art and Application Examples in Inventory and Warehouse Management 111 hour the object InventoryUp generates the event for starting the inventory update. The table PurchaseOrders is checked for deliveries and the inventory is eventually updated. The inventory information are stored in the table Inventory see figure 5 . At the end of the day the store performance measures are collected in the table Data_Day. Fig. 5. Store Modeling frame and examples of information stored in tables. The same architecture is implemented for the Distribution Center class even if there are some variables and methods with different names. The Plant class proposes the same modeling approach in addition in this class we have implemented the Manufacturing Manager section for plant machines modeling and management. The same modeling approach for STs DCs and PLs guarantees high flexibility if the supply chain echelons number has to be modified or different supply chain echelon has to be considered. Note that the use of dynamic entities flowing in the simulation model dynamic entities is completely eliminated. Stores Distribution Centers and Plants classes instantiated in the model have different identifying numbers that allow the information exchange protocol to work correctly. As already mentioned flexibility in terms of supply chain scenarios definition is a critical issue for simulation models that must be used as decision-making tool. Now we examine how a supply chain manager can define alternative supply chain scenarios by using a Simulation Model Interface see figure 6 . Again the description proposed below would be interesting for those readers interested in developing similar approaches. The main dialog of the Simulation Model Interface provides the user with many commands as for instance 112 Supply Chain Management number of items simulation run length start stop and reset buttons and a Boolean control for the random .