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Analysis of management actions, human behavior, and process reliability in chemical plants. II. Near‐miss management system selection
Author(s) -
Meel Anjana,
Seider Warren D.,
Oktem Ulku
Publication year - 2008
Publication title -
process safety progress
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.378
H-Index - 40
eISSN - 1547-5913
pISSN - 1066-8527
DOI - 10.1002/prs.10225
Subject(s) - sophistication , process (computing) , selection (genetic algorithm) , process safety management , risk analysis (engineering) , reliability (semiconductor) , engineering , process safety , confidentiality , operations research , work in process , computer science , computer security , operations management , artificial intelligence , hazardous waste , business , social science , power (physics) , physics , quantum mechanics , sociology , waste management , operating system
To understand the behavior patterns of managers, engineers, and operators, in Part II, a game‐theoretic decision model is developed for a specific plant to balance the advantages and disadvantages of having a Near‐miss Management System (NMMS) with different sophistication levels. Assuming that management and engineering preferences differ from those of the process operators, the tradeoffs between them are balanced. As anticipated, it is shown that the choices of the management and engineering team, and the operators, for the selection of a NMMS, are sensitive to the contributing factors. This article introduces a theoretical approach, illustrated using hypothetical data, which should be effective in industrial operations. Attempts to obtain data for validation of the framework were unsuccessful because of confidentiality and liability issues associated with industrial data. © 2007 American Institute of Chemical Engineers Process Saf Prog, 2008