Inventory Control And Coordination Mechanism Study On Remanufacturing Logistics System With Uncertainty Environment

With the substantial increasing of the industrial waste and energy consumption tremendous, the ecological environment is getting more and more deterioration. Remanufacturing is not only a solution to environmental pollution, shortage of resources in an effective way, but also made significant enterprises an effective means of cost-effectiveness. Because new products and waste products will be producted, the inventory control and coordination have been very complex. More and more researcher is interesting with inventory control decision of remanufacturing logistics system with uncertainty environmental. In this thesis, through practical research and literature analysis, the recycling logistics system theory, reverse logistics, closed-loop supply chain, inventory control theory, uncertainty theory were applied. Based on the characteristic of remanufacturing logistics system and uncertainty factor of affecting the inventory, stochastic one-cycle model and fuzzy multi-cycles model were proposed. The inventory decision of manufacturer was analyzed. The inventory-location problem was investigated. The inventory control decision was made. The inventory coordination decision of remanufacturing logistics system was researched. The main research content and innovation of thesis are as follows.1. The stochastic inventory model and fuzzy programming model was researched. The quality consideration had been considered. We also analyze an inventory system where multi manufacturing cycles and multi remanufacturing cycles. It makes model closer to actual. It is observed that unit production cost is more cost effective than unit remanufacturing cost and remanufacturing will make more profit.2. A stochastic programming model was proposed which aims to provide aminimum-cost solution for the location-inventory problem involving product returns in uncertainty environmental through analyzing the impact of location on inventory. The proposed model and solution procedure considered inventory collection period and distance between return center and customer. As such, the model and solution procedure enabled reverse logisticians to determine the exact length of collection period and total product recovery networks costs associated with product returns. The scientific contribution was made to the inventory control method of collector3. A multi-echelon inventory coordination model was proposed about supplier, manufacturer, seller and collector. In this model, multi-product cycle and multi-remanufacturing cycle were considered. An optimal production and replenishment policy was formulated to maximize the joint profit. The findings in this study revealed a substantial profit increase using the integrated approach. And, empirical research showed that if participation made the scientific coordination of strategy tighter, economic benefits of the remanufacturing logistics system will be significantly improved.In addition, there are 24 figures and 23 tables in the dissertation. We also have referred to 175 reference documents.