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Though the game-theoretic approach has been vastly studied and utilized in relation to economics of industrial organizations, it has hardly been used to tackle safety management in multi-plant chemical industrial settings. Using Game Theory for Improving Safety within Chemical Industrial Parks presents an in-depth discussion of game-theoretic modelling which may be applied to improve cross-company prevention and -safety management in a chemical industrial park. By systematically analyzing game-theoretic models and approaches in relation to managing safety in chemical industrial parks, Using Game Theory for Improving Safety within Chemical Industrial Parks explores the ways game theory can predict the outcome of complex strategic investment decision making processes involving several adjacent chemical plants. A number of game-theoretic decision models are discussed to provide strategic tools for decision-making situations. Offering clear and straightforward explanations of methodologies, Using Game Theory for Improving Safety within Chemical Industrial Parks provides managers and management teams with approaches to asses situations and to improve strategic safety- and prevention arrangements.
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Subjects
Mathematical Economics, Safety measures, Quality Control, Reliability, Safety and Risk, Game Theory/Mathematical Methods, Economics, Economics/Management Science, Industrial Chemistry/Chemical Engineering, Math. Applications in Chemistry, Dangerous Goods Safety in Chemistry, Chemicals, Chemical engineering, Game Theory, Economics, Social and Behav. Sciences, Mathematics, System safety, Chemistry, Reliability (engineering)Showing 2 featured editions. View all 2 editions?
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1
Using Game Theory to Improve Safety within Chemical Industrial Parks
May 21, 2015, Springer
paperback
1447160525 9781447160526
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2
Using Game Theory to Improve Safety within Chemical Industrial Parks
2013, Springer London, Imprint: Springer
electronic resource /
in English
144715052X 9781447150527
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Feedback?December 25, 2021 | Edited by ImportBot | import existing book |
July 8, 2019 | Created by MARC Bot | import new book |