Predictive &
Preventive Maintenance
Predictive and Preventive Maintenance (PPM) leverages advanced
analytics, machine learning (ML), and Internet of Things (IoT) technologies to
monitor equipment conditions, predict failures, and schedule maintenance
activities proactively. This focuses on how an IT company can implement PPM to:
·
Enhance Operational Efficiency
·
Anomaly Detection of Running Machine
·
Schedule Maintenance
·
Reduce downtime
·
Minimize Maintenance Costs for a manufacturing client.
Business
Context
A manufacturing company relies heavily on
various machines and equipment for production. Unexpected equipment failures
lead to costly downtimes, production delays, and high maintenance costs. The
company aims to transition from reactive maintenance to a predictive and
preventive maintenance strategy to ensure smoother operations and better
resource utilization.
Benefits:
1) Reduced
Downtime: Predictive maintenance minimizes unexpected equipment failures,
reducing downtime and ensuring consistent production.
2)
Cost Savings: Preventive maintenance extends equipment
lifespan, reduces emergency repair costs, and optimizes resource utilization.
3)
Increased Efficiency: Proactive maintenance scheduling
improves overall operational efficiency and productivity.
4)
Enhanced Safety: Predicting and preventing equipment failures
enhances workplace safety by mitigating risks associated with unexpected
breakdowns.
Data-Driven Decision Making: Leveraging data
analytics for maintenance decisions enhances the accuracy and effectiveness of
maintenance strategies.