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首页> 外文期刊>International Journal of Production Research >The model of maintenance planning and production scheduling for maximising robustness
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The model of maintenance planning and production scheduling for maximising robustness

机译：最大化鲁棒性维护规划和生产调度模型

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摘要

The accuracy of prediction and detection capability have a strong influence over the efficiency of the bottleneck, all equipment and the production system. The function of predictive scheduling is to obtain stable and robust schedules for a shop floor. The first objective is to present an innovative maintenance planning and production scheduling method. The approach consists of four modules: a database to collect information about failure-free times, a prediction module of failure-free times, predictive scheduling and rescheduling module, a module for evaluating the accuracy of prediction and maintenance performance. The second objective is to apply the proposed methods for a job shop scheduling problem. Usually, researchers who are concerned about maintenance scheduling do not take unexpected disturbances into account. They assume that machines are always available for processing tasks during the future-planned production time. Moreover, researches use the criteria that are not effective to deal with the situation of unpredicted failures. In this paper, a method based on probability theory is proposed for maintenance scheduling. For unpredicted failures, a rescheduling method is also proposed. The evaluation module which gives information about the degradation of each performance measure and the stability of a schedule is proposed.
机译：预测和检测能力的准确性对瓶颈，所有设备和生产系统的效率产生了强烈影响。预测调度的功能是为车间获得稳定和强大的时间表。第一个目标是提供一种创新的维护计划和生产调度方法。该方法由四个模块组成：数据库，用于收集有关无故障时间的信息，故障次数，预测调度和重新安排模块的预测模块，用于评估预测和维护性能的准确性的模块。第二个目的是应用拟议的作业商店调度问题的方法。通常，关注维护调度的研究人员将考虑到意外的干扰。他们假设机器始终可用于在未来计划的生产时间期间处理任务。此外，研究使用不效益处理未预测失败的情况的标准。本文提出了一种基于概率理论的方法来维护调度。对于不受预测的故障，还提出了一种重新安排方法。提出了一种评价模块，其提供有关每个性能测量的劣化和计划的稳定性的信息。

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