Decision-making Of Collaborative Operation In Assembly System Based On VMI-Hub Mode

With the economic globalization, market competition intensification and supply chain uncertainty greatly increased, the collaboration of an assembly system in supply chain has been attached more and more importance to by academic and business circles. Regarding assembly system in supply chain as our object, decision-makings of collaborative operation in the assembly system based on VMI-Hub are considered comprehensively and systematically, combined with empirical research and theoretical analysis, qualitative reasoning and quantitative judgement and by using management, operations management, system dynamics, system decision theory and optimization modeling methods synthetically.Firstly, a collaborative operation organization model of assembly system based on VMI-Hub is proposed. From the aspect of theoretical analysis, logistics organization model and collaborative operation mode of VMI-Hub are analyzed. Furthermore, operation subject of VMI-Hub is elaborated and collaborative operation flow and direction model are constructed. Besides, the driving force and the value of VMI-Hub are also discussed.Secondly, the collaborative operation value of assembly system in supply chain based on VMI-Hub is analyzed. Then traditional batch-to-batch replenishment model、 Milk-run replenishment model and collaborative replenishment operation model in assembly system based on VMI-Hub are established. The performance of the three cases is compared and role and value of VMI-Hub operation model are analyzed. On this basis, empirical research has been done on the relation between partner ships, information sharing and operation performance under VMI-Hub mode. The results show that under the mode of VMI-Hub, partnerships have significantly positive effects on information sharing and operations performance in assembly system. However, information sharing has a positive effect on assembly system performance.Thirdly, in the VMI-Hub operation mode, Automatic Pipeline, Inventory and Order based Production Control System is introduced, and PI-APIOBPCS model is constructed, which can effectively eliminate the stock deviation. Furthermore, PID-APIOBPCS system is constructed, and numerical analysis shows that it can not only eliminate the "production time estimation error" caused by the deviation of inventory, but also can inhibit the fluctuation of productivity and inventory. Fourthly, the collaborative replenishment decision-making model based on VMI-Hub in the assembly system is established. After the original model turned into a one-dimensional optimization problem, the optimal order quantity and the optimal reorder point of the parts of each supplier are given. In order to make the VMI-Hub can conduct collaborative replenishment, the punishment and bonus mechanism is put forward, and numerical analysis shows that adjusting the penalty factor and bonus factors of each supplier can improve service level of the assembly system.Finally, after introducing VMI-Hub inventory liability period which objectively exists in management practice, inventory control and decision-making model of VMI-Hub is formulated from aspect of inventory level control and "liability period". A Stackelberg Game is constructed between single supplier and single manufacturer from the dimension of time, and the optimal solutions of this model under decentralized decision are given. Then the optimal solutions of decentralized decision are compared to under centralized decision.