Abstract
In today’s market, companies strive to achieve the competitive advantages. Failing in achieving these goals could threaten the companies’ existence. Failures in the operative level impact negatively on achieving these goals. In order to record these failures for better actions planning, special systems are often used for counting the number of failures, the duration of machines downtime and uptime for assessing the total downtime and classifying problems/failures in categories that are decided in advance. In this study, we develop a model to break down the contents of a company failure databases, prioritize failures, assess economic losses due to failure impact on the competitive advantages and suggest a method of how maintenance actions should be rank-ordered cost-effectively. The model is tested using real data. The major results showed that losses are mainly due to two categories i.e. “Bad quality” and “Less profit margin”, where failures of “Gear”, “Bearing” and “Raw materials quality” cause most of the losses. It is concluded that this model will enable the user to quickly identify and prioritize maintenance and improvement efforts cost-effectively.
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Al-Najjar, B., Algabroun, H. (2018). A Model for Increasing Effectiveness and Profitability of Maintenance Performance: A Case Study. In: Zuo, M., Ma, L., Mathew, J., Huang, HZ. (eds) Engineering Asset Management 2016. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-62274-3_1
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DOI: https://doi.org/10.1007/978-3-319-62274-3_1
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