dc.contributor.other | ioMosaic | |
dc.creator | Katherine, Anderson | |
dc.date.accessioned | 2021-06-11T16:04:37Z | |
dc.date.available | 2021-06-11T16:04:37Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/193413 | |
dc.description | Presentation | en |
dc.description.abstract | Asset Integrity (also referred to as Mechanical Integrity) findings remain on top of OSHA’s citation list during PSM inspections. Violations most frequently found include failure to address equipment deficiencies, lack of AI written procedures, and failure to perform internal AI inspection(s) and test performance. Establishing systems to collect equipment information to develop proper, effective AI procedures that maintain equipment integrity, schedule inspections, and track deficiency resolutions are a major challenge – especially for smaller companies. This paper describes how electronic database management along with proper information collection practices as well as the use of workflows to track inspection and deficiency status can greatly improve efficiency of an asset integrity program. | en |
dc.format.extent | 7 pages | en |
dc.language | eng | |
dc.publisher | Mary Kay O'Connor Process Safety Center | |
dc.relation.ispartof | Mary K O'Connor Process Safety Symposium. Proceedings 2019. | en |
dc.rights | IN COPYRIGHT - EDUCATIONAL USE PERMITTED | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC-EDU/1.0/ | |
dc.subject | Asset Integrity | en |
dc.title | Are you struggling with your Asset Integrity program? | en |
dc.type.genre | Papers | en |
dc.format.digitalOrigin | born digital | en |
dc.publisher.digital | Texas &M University. Libraries | |