Patterns in process Safety

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dc.contributor.author Samant, Aditya Amol
dc.contributor.author Srinivasan, Rajagopalan
dc.contributor.other by AIChE Annual Meeting
dc.coverage.spatial US
dc.date.accessioned 2015-02-06T13:22:28Z
dc.date.available 2015-02-06T13:22:28Z
dc.date.issued 2014-11
dc.identifier.citation Samant, Aditya Amol and Srinivasan, Rajagopalan,"Patterns in process Safety", in the AIChE Annual Meeting, Atlanta, US, Nov. 16-21, 2014. en_US
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/1608
dc.description.abstract Human error is perhaps the most prevalent cause of process accidents as it is in many other technical domains. “Listing human error as one of the causes of an accident is about as useful as listing gravity as the cause of a fall” (Kletz, 1993). Understanding and preventing accidents therefore would require a deeper understanding of human error. Just as patterns such as trees, spirals, waves commonly occur in nature in different contexts and can be used to explain and understand our world, patterns occur regularly in human behavior and therefore in human organizations. Also, a wide variety of sources that reveal human decisions and behaviors are now becoming available. These can be used to observe various aspects of human and organizational behavior – ranging from sustainability reports at the (macro) corporation level, to news and investigation reports at an event level, all the way to plant operators gaze information while operating the distributed control system (DCS) at the micro level. These new sources of data and information can through new data analysis techniques like text mining offer insights into micro and macro behaviors of people and organization. In this paper, we report on our research to identify recurrent patterns that correlate with process plant accidents. Examples based on actual accidents and real human eye tracking data will be presented. en_US
dc.description.statementofresponsibility by Aditya Amol Samant and Rajagopalan Srinivasan
dc.language.iso en en_US
dc.publisher AICHE en_US
dc.subject Accidents en_US
dc.subject Distributed control system en_US
dc.title Patterns in process Safety en_US
dc.type Article en_US


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