Predicting and confirming the effectiveness of systems for managing low-probability chemical process risks
dc.contributor.author | Rosenthal, Isadore | en_US |
dc.contributor.author | Kleindorfer, Paul R. | en_US |
dc.contributor.author | Elliott, Michael R. | en_US |
dc.date.accessioned | 2007-01-17T15:54:45Z | |
dc.date.available | 2007-01-17T15:54:45Z | |
dc.date.issued | 2006 | en_US |
dc.identifier.citation | Rosenthal, Isadore; Kleindorfer, Paul R.; Elliott, Michael R. (2006)."Predicting and confirming the effectiveness of systems for managing low-probability chemical process risks." Process Safety Progress 9999(9999): NA-NA. <http://hdl.handle.net/2027.42/49299> | en_US |
dc.identifier.issn | 1066-8527 | en_US |
dc.identifier.issn | 1547-5913 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/49299 | |
dc.description.abstract | This article addresses the role of a facility's process safety management system (PSMS) in preventing low probability–high consequence (LP–HC) accidents. We review the rationale for the hypothesis that a facility's PSMS is the central driver of accident prevention, and we discuss how this rationale has been incorporated implicitly into the OSHA Process Safety Management standard (PSM) in 1992 and explicitly into both the EU Seveso II Directive and the USA EPA Risk Management Program regulation (RMP) in 1996. We then note that the limited process accident incidence data available to date have not resolved the issue of determining or predicting characteristics of a facility's PSMS that are likely to be effective in reducing LP–HC accidents. Based on a variety of considerations, the authors propose retrospective and prospective case-control studies on facilities with and without RMP reported process accidents using candidate survey instruments to test which survey factors appear to have the greatest predictive power for the likelihood of future LP–HC accidents. © 2006 American Institute of Chemical Engineers Process Saf Prog, 2006 | en_US |
dc.format.extent | 400823 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Chemistry | en_US |
dc.subject.other | Chemical Engineering | en_US |
dc.title | Predicting and confirming the effectiveness of systems for managing low-probability chemical process risks | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Industrial and Operations Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | School of Public Health and Institute for Social Research, University of Michigan, Ann Arbor, MI 48109-2029 | en_US |
dc.contributor.affiliationother | Senior Fellow, Wharton Risk Management and Decision Processes Center, Philadelphia, PA 19104-6340 ; Senior Fellow, Wharton Risk Management and Decision Processes Center, Philadelphia, PA 19104-6340 | en_US |
dc.contributor.affiliationother | The Wharton School, University of Pennsylvania, Philadelphia, PA 19104–6340 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/49299/1/899_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/prs.10124 | en_US |
dc.identifier.source | Process Safety Progress | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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