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Process planning and scheduling integration with optimal rescheduling strategies

机译:流程计划和计划集成以及最佳的计划策略

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摘要

It is of more practical significance to carry out research on the integrated process planning and scheduling/rescheduling (IPPSR) to achieve a global improvement for the performance of a manufacturing system with sustained pursuit and various uncertainties. In this paper, a framework and a unified dynamic rescheduling model for IPPSR with three typical types of situations normally encountered in a production system, i.e. arrival of new jobs, machine breakdown and order cancellation have been constructed. Meanwhile, an improved evolutionary algorithm (IEA) for the integrated process planning and scheduling (IPPS) to generate an optimal initial scheduling plan has been developed. In order to improve the performance of the algorithm for IPPS and facilitate the extension of it to rescheduling situation, new genetic representation for the scheduling plan combined with process plans and corresponding genetic operators are developed. Based on the dynamic rescheduling model and initial optimised result, the integrated rescheduling strategies for the above three types of situations have been developed. In order to verify the feasibility and performance of the proposed strategies, experimental studies were conducted and comparisons were made for different performance measures; the results show that the proposed approaches not only provide more effective result for IPPS but also for integrated rescheduling with the above three types of uncertainties.
机译:对集成过程计划和调度/重新调度(IPPSR)进行研究,以实现具有持续追求和各种不确定性的制造系统性能的全球改进,具有更实际的意义。在本文中,针对IPPSR构建了框架和统一的动态重新调度模型,该模型具有生产系统中通常会遇到的三种典型类型的情况,即新工作的到来,机器故障和订单取消。同时,已经开发了用于综合过程计划和调度(IPPS)以生成最佳初始调度计划的改进的进化算法(IEA)。为了提高IPPS算法的性能并促进其扩展到重新计划的情况,开发了新的计划表遗传算法,结合了过程计划和相应的遗传算子。基于动态调度模型和初始优化结果,针对以上三种情况开发了集成的调度策略。为了验证所提出策略的可行性和性能,进行了实验研究,并对不同的性能指标进行了比较。结果表明,所提出的方法不仅为IPPS提供了更有效的结果,而且为上述三种类型的不确定性提供了综合的重新调度。

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