Abstract
This paper proposes a multicriteria decision model based on MAUT (Multiattribute Utility Theory) incorporated into an RCM (Reliability Centered Maintenance) approach in order to provide a better assessment of the consequences of failure, allowing a more effective maintenance planning. MAUT provides an evaluation of probability distributions on each attribute as well as trade-offs involving lotteries. The model proposed takes advantage of such evaluations and it also restructures consequence groups established in an RCM approach into new five dimensions. As a result, overall indices of utility are computed for each failure mode analyzed. With these values, the ranking of the alternatives is established. The decision-maker’s preferences are taken into account so that the final result for each failure mode incorporates subjective aspects based on the decision-maker’s perceptions and behavior.
Highlights
Chouikhi et al [1] state that, currently, organizations need to comply with environmental protection standards
The conceptual background consists of two main issues that are integrated into the decision model: a Reliability-Centered Maintenance (RCM) approach and the Multiattribute Utility Theory (MAUT)
According to Moubray [6], the first industry to systematically confront challenges associated with choices related to maintenance was that of commercial aviation. This resulted in the development of decision-making processes known as MSG3 in aviation and RCM (Reliability-Centered Maintenance) in other sectors
Summary
Chouikhi et al [1] state that, currently, organizations need to comply with environmental protection standards. Ishizaka and Nemery [4] argue that if machines are neglected, this can lead to breakdowns and interruptions to production or the supply of services, delays, scheduling problems, bottlenecks, high costs, and even deaths or injuries In this context, Liu et al [5] argue that maintenance plays an important role in industrial production, especially in areas where the most significant losses arise when a system fails. According to Kontrec et al [7], the main goal of maintenance techniques is to ensure that functions of the system are performed in accordance with established standards In this context, Selvik and Aven [8] emphasize that planning preventive maintenance activities for technical systems is a constant challenge.
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