Learn how to slash Mean Time Between Repairs

RipplesCMMS for improving Mean Time between repairs

Ways to improve Mean Time Between Failures (MTBR)

Reasons why Mean Time between Repairs can be reduced using a CMMS software

Proactive Maintenance:

Identify underutilized equipment: RTLS software can track asset location and usage, allowing you to identify equipment that might be underutilized and potentially nearing failure due to lack of regular wear and tear. This enables you to schedule preventive maintenance based on actual usage rather than a fixed schedule, potentially preventing unexpected machine breakdown scenario.

Optimize maintenance routes: RTLS can help optimize technician routes by pinging  closest available technician using a panic button, to a required maintenance location. This saves time and ensures faster response times to potential issues, contributing to reduced MTBR.

Improved Inventory Management:

Locate critical spare parts quickly: During repairs, locating necessary spare parts is crucial. RTLS software can track and pinpoint the location of spare parts inventory in real-time, ensuring technicians can access them quickly, minimizing downtime due to waiting for parts.

Reduce the risk of losing or misplacing assets: Losing or misplacing equipment can significantly delay repairs. RipplesIPS with E-paper provides real-time location tracking, minimizing the risk of lost or misplaced equipment and ensuring its availability when needed.

Enhanced Environmental Monitoring:

Monitor environmental factors: Certain environments can contribute to equipment failure. RTLS can be integrated with sensors to monitor factors like temperature, humidity, or vibration, allowing you to identify potential environmental issues before they cause damage and lead to breakdowns.

Root Cause Analysis for Mean Time Between Failures

Track equipment movement history: By tracking the location history of equipment leading up to a failure, RipplesCMMS can help identify potential causes. This RTLS devices, sending data can be used for root cause analysis, allowing you to address the underlying issue and prevent future breakdowns of similar equipment.

Improved Training and Procedures

Identify common failure locations: By analyzing RTLS and MTBF data, you can identify areas where failures frequently occur. This information can be used to refine training procedures and develop specific protocols for those areas, potentially reducing the likelihood of future failures.

Enhanced Worker Safety:

Minimize technician exposure to hazards: RTLS can be used to track technicians’ movements and alert them of potential hazards in specific areas, particularly during maintenance procedures. This helps ensure worker safety and prevent delays due to injuries.

By implementing these strategies, RTLS software can become a valuable tool in your arsenal for improving MTBR in an Industry 4.0 framework, leading to increased equipment uptime, reduced downtime costs, and improved overall operational efficiency

author avatar
Srihari
Mr Srihari Acharya is head of Ripples IoT pte Ltd, RTLS solution sales in Bengaluru India. He brings over 6 years of experience and expertise in industrial automation solutions