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.

Autorentext

Genserik Reniers obtained a Master's degree in chemical engineering at the Vrije Universiteit Brussel and received his PhD in Applied Economic Sciences from the University of Antwerp. His main research interests concern the application of multi-disciplinary approaches encompassing chemical engineering, economics and management in the safety and security research field. Especially collaboration surrounding safety and security topics and socio-economic optimization within the chemical industry represents his field of expertise. Professor Reniers has published over 50 papers in high quality international journals and has written several books on safety and security engineering and management. He currently serves as Associate Editor for the renowned academic journals Journal of Loss Prevention in the Process Industries and Safety Science.

**Yulia Pavlova ****obtained a Master's degree in applied mathematics and computer science at the St. Petersburg University, Russia, and received her first PhD in Discrete Mathematics and Cybernetics from the St. Petersburg University, and the second PhD in Scientific Computing from the University of Jyväskylä, Finland. Her main research interests concern application of game theoretic and applied mathematic methods to the issues of international cooperation on global environmental problems and transboundary pollution, integrated modeling of agro-environmental systems, adaptation to climate change and risk mitigation. Dr. Yulia Pavlova's special competence includes applied mathematics, applied game theory, optimization, environmental economics, and computer science.

Inhalt
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.