1.Introduction.- 2.Safety management in chemical industrial clusters: the state-of-the-art.- 3.Introduction into strategic decision-making.- 4.A game-theoretic model for cross-plant prevention in a chemical industrial park.- 5.An algorithm to enhance safety collaboration within chemical industrial parks.- 6.Cooperative Incentives Approach (CIA) in case of an MPC with limited resources.- 7.Management roadmap to enhance safety collaboration in chemical industrial parks.- 8.Conclusions and recommendations.
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 modeling 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.