Learn how asset-intensive companies standardize material names in their CMMS automatically, with greater detail, making materials easy to find, and reducing errors in material selection.
RecordedFeb 12 20168 mins
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Learn how asset-intensive companies standardize material names in their CMMS automatically, with greater detail, making materials easy to find, and reducing errors in material selection.
See how easy it is to access an electronic parts catalog from a CMMS or EAM system like SAP, visually choose the parts you need, and automatically add them to a work order.
James McDermott, Vice-President of Marketing at HubHead Corp.
This video demonstration tells the story of an oil and gas producer located in the North Sea and their need to comply with performance standards for safety-critical elements on their off-shore facilities.
They were faced with several challenges, including:
- Trouble verifying that maintenance plans in their IBM Maximo system conformed with performance standards
- An inability to find and update all of the affected maintenance plans and job plans in Maximo when a performance standard was changed
- Difficulty demonstrating that they had assessed their data, and were in compliance
A look at three of the key obstacles to excellence in maintenance and operations in asset-intensive businesses. Find out how your peers are succeeding despite these challenging economic times.
Paul Peterson, Maintenance Mgmt Consultant, David Hattrick, VP, Asia Pacific, HubHead Corp.
Like most asset-intensive companies, you experience issues with poor quality asset and maintenance data in your CMMS system. You know you need to fix the issues to optimize your maintenance procedures, but you don't know where to begin. Join us as Paul Peterson and David Hattrick discuss the effects of bad data on the maintenance organization. Discover best practices to help you easily find and fix data issues
Best practices for achieving excellence in maintenance and operations
Learn how asset-intensive companies improve EAM asset and maintenance data quality, to lower maintenance costs, increase production throughput, and extend asset lifetimes.