Inventory Collaboration And Control Of Supply Chain Based On Supply Hub

This thesis studies the inventory coordination problem in supply chain which is based on Supply-driven. Some optimal decisions were brought forward in different operational environment. The thesis combines theoretical analysis and empirical approaches in areas of management, operation research, system decision making, and optimization modeling while integrating qualitative analysis and quantitative analysis. The main contents and conclusions are as follows:Firstly, the main characters of Supply Hub inventory collaboration were analyzed which is based on the concept of supply-driven. The inventory operation frame was described through some key bodys. At the mean time, the information of Supply Hub and its techno- support, the mechanism of revenue sharing were present. At last, the advantages of Supply Hub inventory collaboration were declared: decreasing the level of safety stocks and cost, reducing the uncertainty of supply, improving the responsiveness and server level of Supply Hub systems.Secondly, there are two essential collaborative operation modes which are based on supply-driven in supply chain: distributed VMI and Supply Hub. The advantage characters of Supply Hub to distributed VMI are analyzed through the risk pooling theory. Some conclusions are gotten in the end: Supply Hub, in the same way as risk pooling, can reduce the level of safety stocks and inventory cost thereby reducing inventory across the supply chain when we do not consider the matching of different parts or products. After matching was taked into account, we established an inventory model in supply chain of one product with two different parts. Two supply policies are bought forward for convenient analysis. Essentially, we show that the out of stock is also reduced by Supply Hub under usual conditions. While the holding cost and the total cost can only be lowered when the demand distributions are satisfied with some qualifications. At last, a simple example is included to highlight these results in a certain extent.Thirdly, it's pivotal to fulfill the advantages of Supply Hub mode for it's cost and matching advantages in inventory collaboration. This researches study how to choose optimal suppliers' combination from many suppliers and how to control the suppliers' inventory when we implement Supply Hub collaboration mode. A double-deck programming model was set up through analyzing. Some mathematical analysis means and numerical arithmetic were advanced for solving the double-deck programming model. At the same time, another programming model was brought forward when the matching of different suppliers' items was thinking about. The analytical and numerical solution was gotten through giving some practical examples. The conclusions validate farther the cost and matching advantages of Supply Hub mode.Lastly, the responsiveness of Supply Hub depends on the supply lead time of bottleneck supplier. A new lead time reduction cost function with characteristics of subsection derivative was put forward because investments were not necessary when we integrated efficiently organizations and personnel of bottleneck supplier. A (Q, r) inventory model with service level constraint was discussed and some coordination policies were gotten. By applying some means of optimization theory, the problem was decomposed into two problems: one problem without constraint and the other with equation constraint. Theoretic analysis and numerical study show that: service level and responsiveness of bottleneck supplier can be improved prominently and the total cost can be minimized synchronously after confirming the order quantity, the reorder point and the lead time expediting factor.