Optimization On Lean And Agile Collaboration Of Supply Chain Under Uncertain Demand

The key to the supply chain management is the effective integration among the members since the supply chain which consists of the complete processes from the material procurement to the product delivery is a network chain of multiple enterprises. Due to the change of the market environment, operations of the supply chain members are facing negative impacts induced by the demand uncertainty. The negative impacts can be reflected in two aspects. Namely, the capacity of manufacturing enterprise is not balanced utilized and the distribution enterprise has to set up a considerable number of buffer inventories. To eliminate the negative impacts, the members in the supply chain can choose the collaborative division between lean and agile which is right the principle of the supply chain management. Guided by the synergetics, the optimization theory, the probability theory and integral knowledge are used to analyze a number of contents, such as the concept model of dynamic collaboration on the supply chain, the mix of replenishment strategy under the collaborative supply condition, the collaborative replenishment strategy under the capacity reservation condition, and the collaborative replenishment strategy under the central decision-making condition.The concept model of dynamic collaboration on the supply chain is established firstly. The meaning and composition of the lean and agile collaborative optimization theory is given and the general implementation method of the mathematical or simulation model is proposed. The conceptual model is able to forecast the change in the market demand by using a dynamic fitting of the estimation function. According to the information transfered by the estimation function, the real time inventory data and the formulated replenishment rules, replenish instructions are sent to the manufacturer and inventories under dynamic replenishment. Based on the different degrees of the close collaborations, the thesis establishes models to present the problems from three facets as, including the loose collaborative, the capacity reservation and the central decision-making.Under the loose collaborative situation, the hybrid replenishment strategy under the collaborative supply condition is studied. The distribution enterprise aiming at their own interest chooses a joint replenishment from the lean manufacturer and the agile manufacturer, where the replenishment strategy is to get a minimum value of the expect cost function under a given service level. The optimization theory and the probability knowledge are used to establish the model and the Matlab language is used as program tool. Then the effectiveness and the rationality are verified by using numerical simulation and sensitivity analysis. The applications under the zero or non-zero lead time of the manufacturer condition and the batches delivery condition are considered.To achieve a steady mass production of the lean manufacturer and a continuously stable purchasing of the distributor, the manufacturer and the distributor can draw up a contract to achieve cooperation to a certain extent. The collaborative replenishment strategy under the capacity reservation condition is studied. According to the contract, the distributors can pay a fee to the lean manufacturer, to reserve the production capacity. The model is setup up and the effectiveness and the realization of the model are confirmed by using numerical simulation and analysis. Again, the applications under the zero or non-zero lead time of the manufacturer condition and the batches delivery condition are considered.Since the tight collaboration of the supply chain members can lead to the maximum profit for the total system, this thesis also focuses on the optimization in the collaborative replenishment of the supply chain under the central decision-making condition. With the use of the game theory and the probability theory, a mathematical model is then established and the effectiveness and the realization of the model are confirmed by using numerical simulation and sensitivity analysis. Similarly the applications under the zero or non-zero lead time of the manufacturer condition and the batches distribution condition are considered.The problem of lean and agile collaboration is a crossing project of multiple subjects. In this thesis the synergy optimization has been investigated using the theory of multiple subjects from multiple aspects. The concept model of dynamic collaboration on the supply chain is established and the definite implement method is given. Then the conclusions are confirmed by using numerical simulation and analysis. The members on the supply chain are facing sever challenges induced by the demand uncertainty and the members in the logistics field should pay more attention to the implement of lean and agile collaboration. The derived results enrich the study meaning of supply chain and provide a guidance and reference for practical operation.