An adaptive multi-agent system for cost collaborative management in supply chains
Engineering Applications of Artificial Intelligence(2015)
摘要
An area that has received much research attention in recent years is the design of self-adaptive multi-agent systems (MAS) for cost collaborative management (CCM) of supply chains. We propose a new system that integrates multi-agents, context-aware computing, and context-aware reasoning to improve CCM in supply chains. The main conclusions of our study indicate that these concepts, methods, and mechanisms such as context-aware computing and context-aware reasoning can be used to create a framework for designing self-adaptive MAS-CCM systems, enhance the coordination and interaction of the system with the external environment, and strengthen the capability of the system for self-learning and self-adaptation. And we use a case study to confirm that environmental uncertainty can be automatically reduced to a win-win mode demonstrating the self-adaptive property of the AMAS-CCM system through a context-aware database, and collaborative capabilities can solve current adaptability and cost control optimization in supply chain members. To apply context-aware reasoning to cost collaborative management in supply chains.To design a new intelligent system framework of adaptive multi-agent system (AMAS) for CCM.To improve the capabilities of coordination and interaction with external context-aware in CCM.
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关键词
CCM,DDS,MAS,AMAS,CAC,IOCM,RBV
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