摘要
针对汽车供应链对用户需求的响应灵活性与及时性,将多Agent技术和博弈运用于汽车供应链系统环境中,提出了一种有时间限制和不完全信息约束的多Agent并发协商的博弈模型。该模型在多Agent环境中,通过资源需求者和资源提供者之间的讨价还价研究多Agent多议题的连续并发协商,由博弈矩阵和效益比较寻求使得协商参与者共赢的解决方案。通过汽车制造过程验证了并发协商模型的可行性和有效性,相较于多阶段协商模型,该模型具有优越性。
For the flexibility and the timeliness where the automotive supply chain responds to customer needs, the multi--agent technology and the game theory were introduced to the automotive sup- ply chain environment,and a game model of multi--agent concurrent negotiation with time--limited and incomplete information was proposed. In multi--agent environment, the model studied multi--issue negotiation and its continuous concurrency deeply by the bargaining among resource requirements and resource providing. It made a win--win solution for negotiation participants from the game matrix and utility comparison. An example of automobile manufacturing process was presented to illustrate the feasibility and the effectiveness of concurrent negotiation, and verified the superiority of the model compared with the multi--stage negotiation model.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2013年第2期163-168,共6页
China Mechanical Engineering
基金
国家高技术研究发展计划(863计划)资助重点项目(2009AA043403)
国家自然科学基金资助项目(70971035)
关键词
多AGENT系统
博弈理论
多边多议题
并发协商
multi--agent system
game theory
multilateral multi--issue
concurrent negotiation