Integrating Reliability Centered Maintenance with Statistical Forecasting Techniques and Cost Engineering on Machine in Casting Plant of Automotive Parts

S. Butdee, Tadpon Kullawong
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Abstract

This paper describes the integration of reliability centered maintenance (RCM), Statistical Forecasting Techniques (SFT) and cost engineering to develop maintenance and cost management on Machine in Casting Plant of Automotive Parts. The main objective of RCM, SFT and cost engineering is the effective maintenance and cost management of the components of a machine inherent reliability value. Consequently, this research aims to manage the costs necessary to extend the service life of a machine through the use of probabilistic methods and simulation techniques in order to better identify the importance of every components in a machine with respect to maintenance costs. As a result of this research, our costing model allows to develop a methodology to determine maintenance costs which must be applied to some subsets of the elements of a machine, grouped according to their criticality and to identify the gap of costs between the true solution and the optimal maintenance interval.
汽车零部件铸造车间以可靠性为中心的维修与统计预测技术、成本工程相结合
本文介绍了将以可靠性为中心的维修(RCM)、统计预测技术(SFT)和成本工程相结合,在汽车零部件铸造车间开展机器维修和成本管理的方法。RCM、SFT和成本工程的主要目标是对机器固有可靠性价值的组件进行有效的维护和成本管理。因此,本研究旨在通过使用概率方法和模拟技术来管理延长机器使用寿命所需的成本,以便更好地确定机器中每个部件在维护成本方面的重要性。作为这项研究的结果,我们的成本计算模型允许开发一种方法来确定维护成本,这些成本必须应用于机器元素的某些子集,根据它们的临界程度分组,并确定真实解决方案和最佳维护间隔之间的成本差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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