CAJ | 학술논문

针对经典作业车间调度（Jok-Shop Scheduling）问题的局限性，结合实际生产情况，提出了基于多代理机制的供应链环境下的企业间的协同生产调度（Coopemted production scheduling）统的体系结构，结合多代理的灵活性和遗传算法的全局优化性，阐述了一种基于多代理和遗传算法的协同调度系统，并寻求适合于这种供应链环境的优化调度方案。
침대경전작업차간조도（Jok-Shop Scheduling）문제적국한성，결합실제생산정황，제출료기우다대리궤제적공응련배경하적기업간적협동생산조도（Coopemted production scheduling）통적체계결구，결합다대리적령활성화유전산법적전국우화성，천술료일충기우다대리화유전산법적협동조도계통，병심구괄합우저충공응련배경적우화조도방안。
To overcome shortcomings of classical job-shop scheduling, this article presents a multi-agent based cooperated production scheduling system architecture for enterprises in supply chain. In terms of the flexibility of MAS and the global optimizing ability of GA, the article discusses a dynamic scheduling system based on multiagent systems（MAS）and genetic algorithms（GA）, so as to find optimal schedules in supply chain circumstances.