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- W3213797758 abstract "A current trend among businesses is embedding intelligent behavior in base activities, thereby achieving a competitive advantage and making improvements while reducing operating costs. In a business context, Artificial intelligence (AI) has several disciplines to study of the design of intelligent agents that combine thinking and learning as well as problem solving and decision making. Supply chain management is one of business fields that have successfully applied intelligent agent. In today’s global supply chain environment, few firms have complete control over the entire supply chain. Even in the case where firm owns significant portion of the entire supply chain, different segments may be owned by different organization because in recent years, the business world has realized that business efficiency can be improved if the firm focus on building their core competencies and cooperate with other companies possessing complementary strength. The stability of cooperation in such supply chain is closely related with the allocation of profits in cooperation. The value is a solution concept in cooperative game theory that can be used for profit allocation. This research aims to design of an agent-based system in cooperative supply chain management using game theory and specifically Shapley value. The proposed system integrates complementary perspectives: multi-agent system and game theory that have been rarely used together in previous studies. Furthermore, a functional prototype of an agent based profit allocation system in supply chain management using value is designed and implemented to illustrate the proposed system performance and potential." @default.
- W3213797758 created "2021-11-22" @default.
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- W3213797758 date "2018-01-01" @default.
- W3213797758 modified "2023-09-23" @default.
- W3213797758 title "AGENT-BASED BUSINESS INTELLIGENCE SYSTEM IN SUPPLY CHAIN MANAGEMENT" @default.
- W3213797758 hasPublicationYear "2018" @default.
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