Supply-demand matching is critical for the increase of response speed, the improvement of resource utilization, and the building of long-term partnership. This study will contribute to the present supply-demand matching studies by (1) summarizing the dynamic broker dominant supply-demand matching problem (B-SDMP), (2) proposing the dynamic broker dominant supply-demand matching approach, inclusive of (a) the building of the distributed constraint satisfaction model based on the dynamic negotiation among agents and (b) the design of an asynchronous backtracking algorithm according to interaction among agents, and (3) the design and development of a multiagent dynamic supply-demand matching system. To verify the validity and usability of the method, the system test and case simulation are conducted. The matching solutions yielded from this B-SDMP analysis can help the buyers find the appropriate sellers on one commodity/service under dynamic environment and stimulate the building of long-term partnership among the sellers, buyers, and broker as a stable supply chain.

中文翻译：

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多代理系统的动态经纪人主导供需匹配决策

供需匹配对于提高响应速度，提高资源利用率和建立长期合作伙伴关系至关重要。该研究将通过（1）总结动态经纪人主导的供需匹配问题（B-SDMP），（2）提出动态经纪人主导的供需匹配方法，包括（a）来为当前的供需匹配研究做出贡献。 ）基于代理商之间动态协商的分布式约束满足模型的建立；（b）根据代理商之间的交互进行异步回溯算法的设计；（3）多代理商动态供需匹配系统的设计与开发。为了验证该方法的有效性和实用性，进行了系统测试和案例仿真。