NEURO-FUZZY BASED PERFOMANCE EVALUATION MODELING FOR SUB-CONTRACTTORS IN SUPPLY CHAIN MANAGEMENT

摘要

Supply chain is presently one of the critical strategies for the competitive edge in the form of alliance management. Several companies are joined together as a cluster in order to increase bargaining power of purchasing which is known as a supply chain. One of the key players of the SCM is sub-contractors which are needed to manage in pattern of standardization and systematization. However, the competitive advantage is measured by performance with fast responsive to change and reduce cost continuously. This paper proposes neuro fuzzy based performance evaluation modelling for sub-contractors in supply chain management of the automotive rubber part industry. Three major dimensions are measured based on actual sample factory model. They are delivery on time, back order clearance, and quality. The performance evaluation can be evaluated anytime while demands are being changed in order to optimize supplies of the sub-contractors. The sample of 6 companies are tested. Fuzzy and Neuro Fuzzy modelling can help the transaction of SCM members more conveniently and effectively.