An Integrated Risk-Informed Multicriteria Approach for Determining Optimal Inspection Periods for Protective Sensors.

ABSTRACT: Equipment failure is the leading cause of industrial operational disruption, with unplanned downtime accounting for up to 11% of manufacturing revenue, highlighting the need for effective proactive maintenance strategies, such as protective sensors that can detect potential failures in critical equipment before a functional failure occurs. However, sensors are also subject to hidden failures themselves, requiring periodic failure-finding inspections. This study proposes a novel integrated multimethodological approach combining discrete event simulation, Monte Carlo, optimization, risk analysis, and multicriteria decision analysis methods to determine the optimal inspection period for protective sensors subject to hidden failures. Unlike traditional single-objective models, this approach ev

SUBMITTER: Mateus RJG 

PROVIDER: S-EPMC12788320 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature