Joint Industrial Preventive Maintenance and Production Scheduling: A Systematic Literature Review

Abstract

Maintenance plays a fundamental role in the efficiency of productive processes, contributing to cost reduction, operating safety, and compliance with environmental constraints. From the standpoint of Preventive Maintenance (PvM), a disconnection can be observed in the industrial context between inspection intervals and production schedule programming. In this context, the current research effort has been in correlating the maintenance schedule and production planning. An exploratory survey in this problem space was undertaken by way of a systematic literature review. Current approaches face barriers for their applied usage in shopfloor, as the computational tools required for their optimization models and extraction information from process. In order to provide support for the gaps identified in current approaches, a framework is proposed that, using information extracted from event logs, generated from process and assets, and processed by process mining algorithms, integrates production demands, process behavior and asset status information. In the form of criteria assessed over the course of time windows alternatives, the ideal moment to stop production and perform the appropriate maintenance actions is established. Thus, a viable alternative is achieved to obtain, objectively and based on process information, the parameters required for integrating the maintenance scheduling with production planning.