Unplanned downtime remains one of manufacturing’s most costly and preventable drains on productivity. Conveyor systems—critical to assembly, coating, packaging, and material handling operations—are especially prone to failure when lubrication and chain wear aren’t closely managed.
Traditional preventive maintenance follows fixed schedules for lubrication, replacement of parts, and inspection. While it helps prevent neglect, this time-based approach often leads to over-lubricating some components while missing issues that develop between service intervals.The result is wasted resources, unnecessary wear, and the same downtime these programs were designed to prevent. As production demands increase and sustainability goals tighten, manufacturers need smarter maintenance strategies that respond to actual equipment conditions rather than arbitrary schedules.
Predictive maintenance delivers that shift. By continuously monitoring indicators such as temperature, vibration, amperage, and chain wear on conveyors, predictive systems identify early warning signs and trigger maintenance only when needed.
Key Topics:
- The Cost of Conveyor Downtime
- Root Cause Distribution of Conveyor Downtime Events
- Preventive Maintenance: Strengths and Limitations
- The Shift to Predictive Maintenance for Conveyor Systems
- Implementing Predictive Maintenance and Intelligent Lubrication
- Impact, Case Studies, and ROI of Condition Monitoring and Predictive Maintenance
