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Production and preventive maintenance rates control in a failure-prone manufacturing system using discrete event simulation and simulated annealing algorithm

机译:使用离散事件仿真和模拟退火算法,在失败易发制造系统中的生产和预防性维护控制

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Production and preventive maintenance rates control in a failure-prone manufacturing system (FPMS) was studied in the current survey. One of the most important parameters is to determine the inventory level of the buffer, because if the inventory level is low, the system is faced with shortage in time of breakdown; otherwise, holding cost will be increased. Another effective parameter is determining the time for preventive maintenance which is important to discover breakdowns before their occurrence and thus minimise the cost of corrective maintenance. The purpose of this paper was to determine the optimal production rate and time of preventive maintenance for a single-machine FPMS to minimise sum of costs of holding, shortage, corrective and preventive maintenance. The repair time and time between breakdowns have general distribution. Since the inventory level and time of preventive maintenance should be optimised simultaneously in order to obtain an optimum point, discrete event simulation and simulated annealing were used.
机译:在目前的调查中研究了失败易发制造系统(FPMS)中的生产和预防性维护率控制。最重要的参数之一是确定缓冲区的库存级别,因为如果库存级别低,则系统面临缺失的短缺;否则,持有费用将增加。另一个有效的参数正在确定预防性维护的时间,这对于在其出现之前发现故障是重要的,从而最大限度地减少了纠正性维护的成本。本文的目的是确定单机FPM的预防性维护的最佳生产率和时间,以最大限度地减少保持,短缺,纠正性和预防性维护的成本总和。故障之间的修复时间和时间具有一般分布。由于应同时优化预防性维护的库存水平和时间以获得最佳点,因此使用离散事件模拟和模拟退火。

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