Motivated by the increasing demand of mass customisation in production systems, this paper proposes a robust and adaptive scheduling and dispatching method for high-mix human-robot collaborative manufacturing facilities. Scheduling and dispatching rules are derived to optimally track the desired production within the mix, while handling uncertainty in job processing times. The sequencing policy is dynamically adjusted by online forecasting the throughput of the facility as a function of the scheduling and dispatching rules. Numerical verification experiments confirm the possibility to accurately track highly variable production requests, despite the uncertainty of the system.

基于生产系统中大规模定制需求的不断增长，本文提出了一种针对高混合型人机协作制造设施的鲁棒且自适应的调度和调度方法。导出调度和调度规则以最佳地跟踪混合中的所需生产，同时处理作业处理时间中的不确定性。通过根据调度和调度规则在线预测设施的吞吐量，可以动态地调整排序策略。数值验证实验证实了尽管系统存在不确定性，但仍可以准确跟踪高度变化的生产需求的可能性。