Merkezi olmayan tederik zinciri sistemlerinin bilgi paylaşımı ve kaynağa yakın rekabet altında eniyilenmesi

In this thesis, a multi-echelon decentralized supply chain is modeled and the impacts of vertical information sharing and horizontal manufacturer competition on different decision makers are exclusively analyzed. An optimization approach adopting MILP and Receding Horizon Predictive Control is used regarding information and material flows, respectively. For information sharing; profit, service and inventory levels and bullwhip effect are considered as major performance measures. These measures are analyzed and compared for different information sharing strategies. Information sharing generally provides better performance for all decision makers. But the relationships between these performance measures can not be generalized for different information sharing strategies and products. Transportation lead times of the manufacturers are the main parameters either amplifying or reducing the improvements due to information sharing. The relationship between the manufacturers and distributor/retailer echelons is treated as a principle-agent interaction. The competition among manufacturers is based on sales price and quality level. While the former directly affects profit level and market share, the latter has impact on the profit level via market share. Results of the competition mainly depend on the relationship between sales price and quality levels among different feasible decision sets. The pricing power of the retailer echelon is analyzed by the incorporation of price and quality flexibility of consumers. Under such a setting retailer echelon is the only better performing party. Finally a specific game is formed to examine the cooperative behavior of manufacturers under asymmetric information. If applicable for an initial solution, cooperative behavior provides better performance for all manufacturers.