| Summary: | Assessing the best set of maintenance guidelines for various types of
failures is often a challenging and complex task. It requires understanding
various factors such as safety aspects, environmental issues, energy
savings, costs, budget constraints, system reliability, resource utilization,
and more. Implementing the correct maintenance process is a critical step
in production to increase reliability and improve the effectiveness and
quality of the production system. Despite the significant importance of this
issue, there are not many studies that analyse and develop procedures for
selecting the optimal maintenance strategy. This paper presents the
selection of the optimal maintenance strategy using multicriteria decisionmaking, specifically the Analytic Hierarchy Process (AHP), for a case study
involving a company in the automotive industry. The defined alternatives
are the four most commonly used machine maintenance strategies in the
industry: corrective, preventive, condition-based maintenance, and total
productive maintenance. The decision criteria considered in the analysis
are: production quality, reliability, costs, and safety, along with their
respective sub-criteria.
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