지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.11
- 수록면
- 945 - 951 (7page)
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초록· 키워드
오류제보하기
Because of market globalization and the advancement of e-commerce the importance of supply chain network is increasing. In recent years, enormous research effort has been spent on the development of multi-agent systems to automate buyer-seller negotiations in supply chain management applications. In supply chain management, improving the efficiency of the overall supply chain is of key interest. And negotiation with supplier and buyer is key part of supply chain management. A supply chain can produce products for multiple markets. Also, an individual company is likely to have only limited visibility of the supply chain structure, which makes it difficult to make future demand estimations, because the pattern of demand propagation through the supply chain depends on the capabilities and strategies of companies along the path from the markets to the company. There will be the conflict among the pursuit of the profit of all members of the SCM. Coordination is essential for successful supply chain management. In order to maximize customer value and to provide a profit for each supply chain member, negotiation among all members is necessary. In this research, we consider only purchasing agent and supplier agent. We consider multi-agent based automated negotiation system to find the best negotiation strategy that makes all members of the SCM satisfied in a simple SCM. This paper develops a supply chain modeling using negotiation mechanism. Multi-agent based automated negotiation system could be transformed into linear programming with negotiation information. The ideas behind the suggested model are fuzzy mechanism with an agent We"ve compared multi-agent based automated negotiation system with negotiation system with fuzzy mechanism. Utility function as a performance measure is used in order to compare offer set that purchasing agent receipted.
목차
Abstract
1. 서론
2. Multi-agent based Automated Negotiation System
3. Trade-off Mechanism
4. 사례연구
5. 결론
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UCI(KEPA) : I410-ECN-0101-2015-500-002901602