Predictive Condition Monitoring
Tanand Predictive Condition Monitoring (Easi PCM) optimizes and reduces downtime by giving you predictive alerts to monitor all your critical production equipment to improve machine availability and reduce maintenance schedule using a demand-based system.
Easi PCM realizes a demand-based maintenance work scheduling instead of a scheduled-based maintenance work, which is made possible by our real-time sensors benchmark.
How It Works
In the beginning of the week, your maintenance team can print out this demand-based schedule for their PPM work. By the end of the week, the manager can use the dashboard to check on the quality of the maintenance work using the sensors feedback.
Benefits of Predictive Condition Monitoring (Easi PCM)
Easi PCM collects real-time and historical data to anticipate manufacturing issues before they happen. The three main areas that Easi PCM benefit are:
01 Real-time Monitoring of Equipment Performance
Do you know that Easi PCM is equivalent to hiring 2 full-time engineers running in 3 shifts? Easi PCM runs in real-time without extra supervision and automatically ensures your machines are always at the top of their performance.
02 Data Analysis and Troubleshooting
Easi PCM helps to shorten troubleshooting time for dipping OEE reason by using the predicted reasons and have the data analysis displayed on the scoreboard. This way, your production team can take immediate and specific action to rectify the problem.
03 Benchmarking Maintenance, Repair and Operations (MRO) to Reduce Downtime
Easi PCM anticipates and predicts abnormalities using real-time machine data to diagnose and predict various types of failures before they mess with your manufacturing processes, and most importantly, your KPI.
Maintenance Strategies
Problem Statement
Despite performing maintenance regularly, manufacturing companies may still face various challenges in operation and machine performances. The most common issues include:
Frequent Downtime and Customer Complaints
Despite performing sufficient amounts of PPM, downtime and abnormalities still occur regularly thus affecting overall production and customer’s satisfaction
Difficulty To Determine Service Quality
Performance and quality of service done (e.g. parts change and scheduled cleaning) are difficult to track without proper tracking and data analysis, causing difficulties in achieving KPI.
Lack of Root Cause Analysis
No proper system to analyze and provide simple yet informative data to identify the root cause of this downtime, making the process difficult for real-time monitoring.
Lack of Notification Alerts
Have a real-time automated simple and predictive-based notification system (e.g. Telegram, WhatsApp) to perform on-demand health check when you don’t have immediate access to the dashboard.
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