In the contemporary industrial production, multiple resource constraints and uncertainty factors exist widely in the actual job shop. It is particularly important to make a reasonable scheduling scheme in workshop manufacturing. Traditional scheduling research focused on the one-time global optimization of production scheduling before the actual production. The dynamic scheduling problem of the workshop is getting more and more attention. This paper proposed a simulated annealing algorithm to solve the real-time scheduling problem of large variety and low-volume mixed model assembly line. This algorithm obtains three groups of optimal solutions and the optimal scheduling scheme of multiple products, with the shortest product completion time and the lowest cost. Finally, the feasibility and efficiency of the model are proved by the Matlab simulation.

中文翻译：

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基于事件触发的模拟退火（ETSA）的大批量低产量混合模型装配线的实时调度

在当代工业生产中，实际的工场中广泛存在多种资源约束和不确定性因素。在车间制造中制定合理的计划计划尤为重要。传统的调度研究侧重于在实际生产之前对生产调度进行一次性全局优化。车间的动态调度问题越来越受到人们的关注。提出了一种模拟退火算法，解决了大批量，小批量混合模型装配线的实时调度问题。该算法获得了三组最优解决方案和多个产品的最优调度方案，具有最短的产品完成时间和最低的成本。最后，