Recently multi-agent system(MAS)is regarded as a powerful paradigm to develop and simulate complex system. Because supply chain(SC)is a complex network,it is hard to improve supply chain management(SCM)efficiency and ...Recently multi-agent system(MAS)is regarded as a powerful paradigm to develop and simulate complex system. Because supply chain(SC)is a complex network,it is hard to improve supply chain management(SCM)efficiency and automate SC operating process.Researchers have applied MAS in SCM viewing enterprises in SC as different functional agents collaborating to achieve common goal.In this paper a MAS-based supply chain management framework(MSF)is developed on which agents can collaborate to conduct business activities of enterprises and customers.Six kinds of functional agents are designed,namely, management agent,order receiving agent,order decomposing agent,resource agent,manufacturing-controlling agent and trans- portation agent.Through the agents’ collaboration the MSF can support SC dynamic forming and operating process.For partner selection the method to transmit customers’ order into demand matrix,and transmit enterprise’s resource capacity into resource matrix is described in detail.The MSF users decide which algorithm to be applied in matching the two matrixes,and algorithms are stored in model base.Finally the generic agent architecture is put formard.展开更多
Based on the analysis of a virtual enterprise and the development of supply chain management, their integration is proposed. Then, the difference between multi-agent system modeling method and the traditional modeling...Based on the analysis of a virtual enterprise and the development of supply chain management, their integration is proposed. Then, the difference between multi-agent system modeling method and the traditional modeling method is analyzed, and a method based on Java agent framework for multi-agent systems（ JAFMAS） is proposed. By using this method the virtual enterprise＇ s supply chain management system model is established.展开更多
Fuzzy Logic is used to derive the optimal inventory policies in the Supply Chain (SC) numbers. We examine the performance of the optimal inventory policies by cutting the costs and increasing the supply chain manageme...Fuzzy Logic is used to derive the optimal inventory policies in the Supply Chain (SC) numbers. We examine the performance of the optimal inventory policies by cutting the costs and increasing the supply chain management efficiency. The proposed inventory policy uses multi-agent and Fuzzy logic, and provides managerial insights on the impact of the decision making in all the SC numbers. In particular, we focus on the way in which our agent purchases components using a mixed procurement strategy (combining long and short term planning) and how it sets its prices according to the prevailing market conditions and its own inventory level (because this adaptivity and flexibility are key to its success). In modern global market, one of the most important issues of the supply chain (SC) management is to satisfy changing customer demands and enterprises should enhance the long-term advantage through the optimal inventory control. In this paper an intelligent multi-agent system to simulate supply chain management has been developed.展开更多
This paper proposes a prototype system for modeling and simulation of supply chains using a widely accepted agent platform Java agent development platform (JADE). A simple but practical coordination mechanism agent-ba...This paper proposes a prototype system for modeling and simulation of supply chains using a widely accepted agent platform Java agent development platform (JADE). A simple but practical coordination mechanism agent-based dynamic information network for supply chains (ADINS) is employed for the illustration of the suggested system and a simulation experiment is performed using a supply chain model of a Korean LCD manufacturing company. The result shows that the suggested mechanism is successful in reducing bullwhip effects and increasing service rates.展开更多
文摘Recently multi-agent system(MAS)is regarded as a powerful paradigm to develop and simulate complex system. Because supply chain(SC)is a complex network,it is hard to improve supply chain management(SCM)efficiency and automate SC operating process.Researchers have applied MAS in SCM viewing enterprises in SC as different functional agents collaborating to achieve common goal.In this paper a MAS-based supply chain management framework(MSF)is developed on which agents can collaborate to conduct business activities of enterprises and customers.Six kinds of functional agents are designed,namely, management agent,order receiving agent,order decomposing agent,resource agent,manufacturing-controlling agent and trans- portation agent.Through the agents’ collaboration the MSF can support SC dynamic forming and operating process.For partner selection the method to transmit customers’ order into demand matrix,and transmit enterprise’s resource capacity into resource matrix is described in detail.The MSF users decide which algorithm to be applied in matching the two matrixes,and algorithms are stored in model base.Finally the generic agent architecture is put formard.
基金the National Natural Sciences Foundation under Grant No.50575065Anhui Province Natural Sciences Foundation under Grant No.03042306
文摘Based on the analysis of a virtual enterprise and the development of supply chain management, their integration is proposed. Then, the difference between multi-agent system modeling method and the traditional modeling method is analyzed, and a method based on Java agent framework for multi-agent systems（ JAFMAS） is proposed. By using this method the virtual enterprise＇ s supply chain management system model is established.
文摘Fuzzy Logic is used to derive the optimal inventory policies in the Supply Chain (SC) numbers. We examine the performance of the optimal inventory policies by cutting the costs and increasing the supply chain management efficiency. The proposed inventory policy uses multi-agent and Fuzzy logic, and provides managerial insights on the impact of the decision making in all the SC numbers. In particular, we focus on the way in which our agent purchases components using a mixed procurement strategy (combining long and short term planning) and how it sets its prices according to the prevailing market conditions and its own inventory level (because this adaptivity and flexibility are key to its success). In modern global market, one of the most important issues of the supply chain (SC) management is to satisfy changing customer demands and enterprises should enhance the long-term advantage through the optimal inventory control. In this paper an intelligent multi-agent system to simulate supply chain management has been developed.
文摘This paper proposes a prototype system for modeling and simulation of supply chains using a widely accepted agent platform Java agent development platform (JADE). A simple but practical coordination mechanism agent-based dynamic information network for supply chains (ADINS) is employed for the illustration of the suggested system and a simulation experiment is performed using a supply chain model of a Korean LCD manufacturing company. The result shows that the suggested mechanism is successful in reducing bullwhip effects and increasing service rates.
