Automated Supply Chain Coordination by Probability Conversion Rule
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摘要: 为增强供应链多主体系统协调的高效性、透明性和目标协同性,在分析主体的信念、意图与策略空间映射关系基础上,提出了供应链主体自动协调的概率转换规则.以仿射变换规则作为概率转换规则,实现了协调主体的策略空间变换、交集生成和协调过程引导.算例的协调过程和结果表明,该方法可行有效.Abstract: To improve efficiency,transparency and goal synergy in supply chain coordination of multi-agent system,a probability conversion rule for automating the coordination among supply chain agents was proposed based on the mapping correlation among agent belief,intention and policy space.Then,the policy space transformation,intersection generation and coordinating process guiding of the coordinating agents were achieved using the affine transformation rule as the probability conversion rule.An application example was presented to illustrate the automated coordination process,and the results showed the feasibility and effectiveness of the proposed method.
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Key words:
- supply chain /
- coordination /
- probability conversion,affine transformation /
- agents /
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LI Xiaohong,YANG Danjie,FENG Zhiyong.Design and implementation of negotiation agent of dynamic supply chain[C]∥Proceedings of 3rd International Conference on Information Technology and Applications,Sydney:Institute of Electrical and Electronics Engineers Computer Society,2005:250-255.[2] THIBAUD M,DANIEL R,DIDIER A.Multi-site coordination using a multi-agent system[J].Computers in Industry,2007,58(4):367-377.[3] JENNINGS N R,FARATIN P,LOMUSCIO A R,et al.Automated negotiation:prospects,methods and challenges[J].Group Decision and Negotiation,2001,10(2):199-215.[4] TIAN Yu,HUANG Dao.Coordination of supply chains involving various agents with behavioral preferences[C]∥Proceedings of the World Congress on Intelligent Control and Automation (WCICA),Piscataway:Institute of Electrical and Electronics Engineers Inc.,2006:6611-6615.[5] 贾殿村,汪波.多Agent虚拟企业的契约柔性机制设计[J].西南交通大学学报,2006,41(6):774-778.JIA Diancun,WANG Bo.Design of flexible mechanism for multi-agent based on virtual enterprises[J].Journal of Southwest Jiaotong University,2006,41(6):774-778.[6] SACILE R,PAOLUCCI M,BOCCALATTE A.The make-it project:manufacturing agents in a knowledge-based environment driven by internet technologies[C]∥Proceedings of Academia/Industry Working Conference on Research Challenges,Buffalo:IEEE Computer Society,2000:281-291.[7] ZAYNAB R,JAKUB B,RYSZARD K.Towards a fuzzy-based model for human-like multi-agent negotiation[C]∥Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology,IAT 2007,Piscataway:Institute of Electrical and Electronics Engineers Inc.,2008:515-519.[8] VIPUL J,SUBHASH W,DESHMUKH S G.A negotiation-to-coordinate (N2C) mechanism for modeling buyer-supplier relationship in dynamic environment[J].International Journal of Enterprise Information Systems,2007,3(2):1-22.[9] 毛新军.面向主体的软件开发[M].北京:清华大学出版社,2005:44-145.[10] 刘峡壁.人工智能导论:方法与系统[M].北京:国防工业出版社,2008:217-226.[11] FINK A.Supply chain coordination by means of automated negotiations[C]∥Proceedings of the Hawaii International Conference on System Sciences,Big Island:Institute of Electrical and Electronics Engineers Computer Society,2004:1133-1142.[12] BOWLING M H,VELOSO M M.Multi-agent learning using a variable learning rate[J].Artificial Intelligence,2002,136(2):215 250.[13] TAKAKI M,KAZUYUKI A.Multi-agent reinforcement learning algorithm to handle beliefs of other agents' policies and embedded beliefs[C]∥Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multi-agent Systems,New York:Association for Computing Machinery,2006:789-791.[14] 郭一楠,巩敦卫,周勇.基于多智能体系统的协同交互式进化计算模型[J].系统仿真学报,2005,17(7):1548-1552.GUO Yinan,GONG Dunwei,ZHOU Yong.Multi-agent-system-based synergy on interactive evolution computing model[J].Journal of System Simulation,2005,17(7):1548-1552.[15] NEUBERT R,GORLITZ O,TEICH T.Automated negotiations of supply contracts for flexible production networks[J].International Journal of Production Economics,2004,89(2):175-187.
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