• 산업경영시스템학회지
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• 제40권4호
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• pp.112-119
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• 2017

Selecting suppliers in the global supply chain is the very difficult and complicated decision making problem particularly due to the various types of supply risk in addition to the uncertain performance of the potential suppliers. This paper proposes a multi-phase decision making model for supplier selection under supply risks in global supply chains. In the first phase, the model suggests supplier selection solutions suitable to a given condition of decision making using a rule-based expert system. The expert system consists of a knowledge base of supplier selection solutions and an "if-then" rule-based inference engine. The knowledge base contains information about options and their consistency for seven characteristics of 20 supplier selection solutions chosen from articles published in SCIE journals since 2010. In the second phase, the model computes the potential suppliers' general performance indices using a technique for order preference by similarity to ideal solution (TOPSIS) based on their scores obtained by applying the suggested solutions. In the third phase, the model computes their risk indices using a TOPSIS based on their historical and predicted scores obtained by applying a risk evaluation algorithm. The evaluation algorithm deals with seven types of supply risk that significantly affect supplier's performance and eventually influence buyer's production plan. In the fourth phase, the model selects Pareto optimal suppliers based on their general performance and risk indices. An example demonstrates the implementation of the proposed model. The proposed model provides supply chain managers with a practical tool to effectively select best suppliers while considering supply risks as well as the general performance.

• 지능정보연구
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• 제12권2호
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• pp.99-123
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• 2006

본 연구는 최적의 공급사슬을 구성하기 위해 다수의 주문을 다수의 참여자에게 할당하기 위한 방법으로 에이전트 협상을 이용하였다. 본 에이전트 협상은 투명한 정보공유를 바탕으로 참여자간의 전략적 협력관계를 형성하기 위한 조정 메커니즘을 제공하고 있으며, 모든 참여자(주문자, 제조자, 공급자)가 자신의 이득을 달성하고, 공급사슬 전체 관점에서도 파레토 최적해가 달성됨을 보여주고 있다. SET 모델기반의 스케줄링에서 지연생산비용과 조기생산비용이 발생되고, 경쟁적 관계에 놓인 다수의 참여자를 고려하였다. 이러한 동적공급사슬 환경에서 에이전트 협상의 결과가 파레토 최적해임을 증명하고, 성능을 검증하기 위해 수리적 모형을 수립하고, 휴리스틱 방법론과 비교하는 실험을 진행하였다.