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.

This book systematically studies how game theory can be used to improve security in chemical industrial areas, capturing the intelligent interactions between security managers and potential adversaries. The recent unfortunate terrorist attacks on critical infrastructures show that adversaries are intelligent and strategic. Game theoretic models have been extensively used in some domains to model these strategic adversaries. However, there is a lack of such advanced models to be employed by chemical security managers. In this book, game theoretic models for protecting chemical plants as well as clusters are proposed. Different equilibrium concepts are explored, with user-friendly explanation of how to reflect them to realistic cases. Based on efficient analysis of the properties of security issues in chemical plants/clusters, models in this book are capable to support resources allocations, cost-effectiveness analysis, cooperation incentives and alike.

This book deals with the state-of-the-art of physical security knowledge and research in the chemical and process industries. Legislation differences between Europe and the USA are investigated, followed by an overview of the how, what and why of contemporary security risk assessment in this particular industrial sector. Innovative solutions such as attractiveness calculations and the use of game theory, advancing the present science of adversarial risk analysis, are discussed. The book further stands up for developing and employing dynamic security risk assessments, for instance based on Bayesian networks, and using OR methods to truly move security forward in the chemical and process industries.

This book provides insight into domino effects in industrial chemical sites and process industries. It is about the integration of safety and security resources to prevent and mitigate domino effects in the process industries. It explains how chemical industrial areas, comprised of various hazardous installations, are susceptible to a chain of undesired events, or domino effects, triggered by accidental events or intentional attacks and then presents solutions to prevent them. Firstly, the book provides a dynamic graph approach to model the domino effects induced by accidental fire or intentional fire, considering the spatial-temporal evolution of fires. Then, a dynamic risk assessment method based on a discrete dynamic event tree is proposed to assess the likelihood of VCEs and the vulnerability of installations, addressing the time dependencies in vapor cloud dispersion and the uncertainty of delayed ignitions. A dynamic methodology based on dynamic graphs and Monte Carlo is provided to assess the vulnerability of individuals and installations exposed to multi-hazards, such as fire, explosion and toxic release during escalation events. Based on these domino effect models, an economic approach is developed to integrate safe and security resources, obtaining the most cost-benefit protection strategy for preventing domino effects. Finally, a resilience-based approach is provided to find out the most cost-resilient way to protect chemical industrial areas, addressing possible domino effects. This integrated approach will be of interest to researchers, industrial engineers, chemical engineers and safety managers and will help professionals to new solutions in the area of safety and security.

This revised and updated 3rd edition of Engineering Risk Management (ERM) presents an understanding and insights into what risk is, what constitutes it and how to interpret the building blocks of the concept. The book also elaborates on the differences between safety and security, and risk management metaphors. Models, theories and principles are discussed, as well as risk assessment methods, risk treatment, risk resilience and micro-economic approaches to optimizing risk decision-making. Some iconic major accidents are explained, followed by examples of practical implementation of ERM in chemistry, physics, and nanotechnology.

Domino Effect: Its Prediction and Prevention, Volume Five in the Methods in Chemical Process Safety series, focuses on the process of learning from experience, including elements of process safety management, human factors in the chemical process industries, and the regulation of chemical process safety, including current approaches. Users will find this book to be an informative tool and user manual for process safety for a variety of professionals. This new release focuses on Domino effect - Case histories and accident statistics, the state-of-the-art in domino effect modeling, Fire Driven Domino Effect, Mitigation of Domino Effect, and much more.

Physical Security in the Process Industry: Theory with Applications deals with physical security in the field of critical infrastructures where hazardous materials are a factor, along with the state-of-the-art thinking and modeling methods for enhancing physical security. The book offers approaches based on scientific insights, mainly addressing terrorist attacks. Moreover, the use of innovative techniques is explained, including Bayesian networks, game-theory and petri-networks. Dealing with economic parameters and constraints and calculating the costs and benefits of security measures are also included. The book will be of interest to security (and safety) scientists, security managers and the public at large.

Risk and Safety Management are crucial aspects in chemical industry and academic laboratories. From their rich experience in academic education and industrial practice, the authors present options for professional training addressing engineers and scientists at different career levels. The book informs about existing norms (OHSAS, ISO, etc.) and discusses examples from several countries.

This book systematically studies how game theory can be used to improve security in chemical industrial areas, capturing the intelligent interactions between security managers and potential adversaries. The recent unfortunate terrorist attacks on critical infrastructures show that adversaries are intelligent and strategic. Game theoretic models have been extensively used in some domains to model these strategic adversaries. However, there is a lack of such advanced models to be employed by chemical security managers. In this book, game theoretic models for protecting chemical plants as well as clusters are proposed. Different equilibrium concepts are explored, with user-friendly explanation of how to reflect them to realistic cases. Based on efficient analysis of the properties of security issues in chemical plants/clusters, models in this book are capable to support resources allocations, cost-effectiveness analysis, cooperation incentives and alike.

This revised 2nd edition of Engineering Risk Management presents engineering aspects of risk management. After an introduction to potential risks the authors presents management principles, risk diagnostics, analysis and treatments followed by examples of practical implementation in chemistry, physics and emerging technologies such as nanoparticles.

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.

The book presents risk management from an engineering perspective. Both a systemic and analytic viewpoint are important in this regard. The introduction to the concept of 'risk' is followed by risk management principles, risk diagnostic, analysis and treatment, event analysis, crisis management, economic issues, risk governance followed by examples of practical implementation in chemistry, physics and emerging technologies such as nanoparticles. Finally, also a number of well-known major industrial accidents are discussed, and how one can learn from accidents. The book is aimed at anyone faced with risk and safety issues. The target audience can be as diverse as students, engineers, scientists, sociologists, psychologists, or actually all practitioners and academics interested in the matter.

This book examines the possibility of socially responsible innovation in security, using an interdisciplinary approach. Responsible innovation in security refers to a comprehensive approach that aims to integrate knowledge related to stakeholders operating at both the demand and the supply side of security - technologists, citizens, policymakers and ethicists. Security innovations can only be successful in the long term if all the social, ethical and ecological impacts, and threats and opportunities, both short term and long term, are assessed and prioritized alongside technical and commercial impacts. The first part of this volume focuses on security technology innovation and its perception and acceptance by the public, while the second part delves deeper into the processes of decision-making and democratic control, raising questions about the ethical implications of security ruling. This book will be of much interest to students of critical security studies, sociology, technology studies and IR in general.

This book provides insight into domino effects in industrial chemical sites and process industries. It is about the integration of safety and security resources to prevent and mitigate domino effects in the process industries. It explains how chemical industrial areas, comprised of various hazardous installations, are susceptible to a chain of undesired events, or domino effects, triggered by accidental events or intentional attacks and then presents solutions to prevent them. Firstly, the book provides a dynamic graph approach to model the domino effects induced by accidental fire or intentional fire, considering the spatial-temporal evolution of fires. Then, a dynamic risk assessment method based on a discrete dynamic event tree is proposed to assess the likelihood of VCEs and the vulnerability of installations, addressing the time dependencies in vapor cloud dispersion and the uncertainty of delayed ignitions. A dynamic methodology based on dynamic graphs and Monte Carlo is provided to assess the vulnerability of individuals and installations exposed to multi-hazards, such as fire, explosion and toxic release during escalation events. Based on these domino effect models, an economic approach is developed to integrate safe and security resources, obtaining the most cost-benefit protection strategy for preventing domino effects. Finally, a resilience-based approach is provided to find out the most cost-resilient way to protect chemical industrial areas, addressing possible domino effects. This integrated approach will be of interest to researchers, industrial engineers, chemical engineers and safety managers and will help professionals to new solutions in the area of safety and security.

Dynamic Risk Assessment and Management of Domino Effects and Cascading Events in the Process Industry provides insights into emerging and state-of-the-art methods for the dynamic assessment of risk and safety barrier performance in the framework of domino effect risk management. The book presents methods and tools to manage the risk of cascading events involving the chemical and process industry. It is an ideal reference for both safety and security managers, industrial risk stakeholders, scientists and practitioners. In addition, laymen may find the state-of-the-art methods concerning domino effects (large-scale accidents) and how to prevent their propagation an interesting topic of study.

"Domino Effects in the Process Industries" discusses state-of-the-art theories, conceptual models, insights and practical issues surrounding large-scale knock-on accidents so-called domino effects in the chemical and process industries. The book treats such extremely low-frequency phenomena from a technological perspective, studying possible causes and introducing several approaches to assess and control the risks of these scenarios. The authors also examine these events from a managerial viewpoint, discussing single and multi-plant management insights and requirements to take pro-active measures to prevent such events. Academics, regulators, and industrialists who study and analyze domino effects in order to prevent such events will find the book unique and highly valuable.
Outlines available methods in analyzing these events, aiding understanding of the accidents and their causesCovers current modelling, control and management tactics of domino effects, -facilitating preventionIdentifies areas where new research is needed"