Predictive Maintenance & Energy Use
Illustrative — structured format · research paper abstract exampleBackground:Small and medium manufacturing enterprises face growing pressure to reduce energy costs without large capital investment. Objective: This study examined the effect of a low-cost predictive maintenance scheduling method on energy consumption in small manufacturing units. Methods: A twelve-week comparative study was conducted across two production lines. Results: The sensor-scheduled line recorded a measurable reduction in unplanned downtime and average daily energy draw. Conclusion: Low-cost predictive scheduling can meaningfully reduce energy waste in resource-constrained manufacturing settings.