‘ODDS Algorithm’-Based Opportunity-Triggered Preventive Maintenance with Production Policy

Abstract In manufacturing field, the planning of opportunistic preventive maintenance actions adapted to minimize the number of useless production stops remains a major industrial challenge. Indeed maintenance decision has to be made in synchronization with the production demands to eliminate costly unscheduled shutdown maintenances and to improve productivity as well as quality. To face with this issue, this paper proposes an innovative approach based on the ‘odds algorithm‘. The objective is to select, among all the production stops already planned, those which will be optimal to develop maintenance actions in time according to the degraded system state. The optimization phase incorporates criteria such as reliability, maintainability and production stops durations. The approach feasibility is shown on an application case.

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