The rapid evolution of industrial systems forces a complete reevaluation of how facilities coordinate daily production and equipment maintenance. As manufacturing environments adopt Industry 4.0 technologies, operations managers face increasing uncertainty. This uncertainty complicates the core task of keeping machines running while meeting strict production targets.
Recent 2026 research indexed in Scopus highlights a clear trend in operations research: facilities must abandon rigid maintenance schedules. Instead, they require mathematical models that handle variable maintenance activities. When production demands fluctuate and machine health data arrives continuously, managers need robust criteria to make quick, effective decisions.
This shift directly supports the core mission of Jurnal Optimasi Sistem Industri. We focus heavily on the decision-centric improvement of socio-technical systems. Maintenance is no longer just a mechanical repair task. It is a complex operational decision that impacts human workers, supply chain reliability, and overall safety climate.
To succeed, industrial engineers must apply advanced mathematical approaches that joint-schedule production and maintenance. By defining precise criteria and employing mathematical scheduling models, facilities can adapt to production uncertainties safely. This approach ensures that physical systems support the human and organizational goals of the factory. Researchers focusing on these decision models provide the exact type of practical solutions our readers require.
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