We all know that knowing and understanding our history is the best way to avoid repeating past failures and continuing practices that have been proven successful. We can apply this same theory to how we view Work Identification.
Presenter, Dick Olver, CMRP of Agrium, will be discussing the importance of keeping good structured data through notification in SAP. The presentation will introduce the importance of understanding the principles of RCM, failure modes, failure patterns, hidden failures in what information is captured and Agrium’s success with guidelines for reporting history and the need to set audit to standards on history reporting.
Recognizing the significant opportunities in having accurate and complete data for work identification is one key step in any reliability effort. Not only this is recognized at Agrium but also the importance of developing a data integrity process, objectively measuring work order data for completeness and accuracy, and communicating the results throughout the enterprise using various metrics. In my experience, prior to data collection, the careful transition from using failure modes, actions and other catalogs, rigorous training and the development of clear, comprehensive and standardized data collection procedures are all essential elements of a successful data collection process and reporting.
Finally, despite good procedures and adequate training, you can still end up with bad data. To ensure data integrity you must establish quality control activities before and after data collection. I congratulate Agrium on this effort as many other companies spend money and resources on quality control activities prior to data collection, but fail to implement any quality control measures or successfully use the information after data collection.
Ramon Diaz, CMRP
Meridium
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