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Author: Yacov Y. Haimes
Publisher: John Wiley & Sons
ISBN: 1119173655
Category : Technology & Engineering
Languages : en
Pages : 530
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Book Description
A comprehensive guide to the theory, methodology, and development for modeling systems of systems Modeling and Managing Interdependent Complex Systems of Systems examines the complexity of, and the risk to, emergent interconnected and interdependent complex systems of systems in the natural and the constructed environment, and in its critical infrastructures. For systems modelers, this book focuses on what constitutes complexity and how to understand, model and manage it.Previous modeling methods for complex systems of systems were aimed at developing theory and methodologies for uncoupling the interdependencies and interconnections that characterize them. In this book, the author extends the above by utilizing public- and private- sector case studies; identifies, explores, and exploits the core of interdependencies; and seeks to understand their essence via the states of the system, and their dominant contributions to the complexity of systems of systems. The book proposes a reevaluation of fundamental and practical systems engineering and risk analysis concepts on complex systems of systems developed over the past 40 years. This important resource: Updates and streamlines systems engineering theory, methodology, and practice as applied to complex systems of systems Introduces modeling methodology inspired by philosophical and conceptual thinking from the arts and sciences Models the complexity of emergent interdependent and interconnected complex systems of systems by analyzing their shared states, decisions, resources, and decisionmakers Written for systems engineers, industrial engineers, managers, planners, academics and other professionals in engineering systems and the environment,this text is the resource for understanding the fundamental principles of modeling and managing complex systems of systems, and the risk thereto.
Author: Yacov Y. Haimes
Publisher: John Wiley & Sons
ISBN: 1119173655
Category : Technology & Engineering
Languages : en
Pages : 530
Get Book Here
Book Description
A comprehensive guide to the theory, methodology, and development for modeling systems of systems Modeling and Managing Interdependent Complex Systems of Systems examines the complexity of, and the risk to, emergent interconnected and interdependent complex systems of systems in the natural and the constructed environment, and in its critical infrastructures. For systems modelers, this book focuses on what constitutes complexity and how to understand, model and manage it.Previous modeling methods for complex systems of systems were aimed at developing theory and methodologies for uncoupling the interdependencies and interconnections that characterize them. In this book, the author extends the above by utilizing public- and private- sector case studies; identifies, explores, and exploits the core of interdependencies; and seeks to understand their essence via the states of the system, and their dominant contributions to the complexity of systems of systems. The book proposes a reevaluation of fundamental and practical systems engineering and risk analysis concepts on complex systems of systems developed over the past 40 years. This important resource: Updates and streamlines systems engineering theory, methodology, and practice as applied to complex systems of systems Introduces modeling methodology inspired by philosophical and conceptual thinking from the arts and sciences Models the complexity of emergent interdependent and interconnected complex systems of systems by analyzing their shared states, decisions, resources, and decisionmakers Written for systems engineers, industrial engineers, managers, planners, academics and other professionals in engineering systems and the environment,this text is the resource for understanding the fundamental principles of modeling and managing complex systems of systems, and the risk thereto.
Author: Wester C. H. Schoonenberg
Publisher: Springer
ISBN: 3319993011
Category : Technology & Engineering
Languages : en
Pages : 216
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Book Description
Cities have always played a prominent role in the prosperity of civilization. Indeed, every great civilization we can think of is associated with the prominence of one or more thriving cities. And so understanding cities -- their inhabitants, their institutions, their infrastructure -- what they are and how they work independently and together -- is of fundamental importance to our collective growth as a human civilization. Furthermore, the 21st century “smart” city, as a result global climate change and large-scale urbanization, will emerge as a societal grand challenge. This book focuses on the role of interdependent infrastructure systems in such smart cities especially as it relates to timely and poignant questions about resilience and sustainability. In particular, the goal of this book is to present, in one volume, a consistent Hetero-Functional Graph Theoretic (HFGT) treatment of interdependent smart city infrastructures as an overarching application domain of engineering systems. This work may be contrasted to the growing literature on multi-layer networks, which despite significant theoretical advances in recent years, has modeling limitations that prevent their real-world application to interdependent smart city infrastructures of arbitrary topology. In contrast, this book demonstrates that HFGT can be applied extensibly to an arbitrary number of arbitrarily connected topologies of interdependent smart city infrastructures. It also integrates, for the first time, all six matrices of HFGT in a single system adjacency matrix. The book makes every effort to be accessible to a broad audience of infrastructure system practitioners and researchers (e.g. electric power system planners, transportation engineers, and hydrologists, etc.). Consequently, the book has extensively visualized the graph theoretic concepts for greater intuition and clarity. Nevertheless, the book does require a common methodological base of its readers and directs itself to the Model-Based Systems Engineering (MBSE) community and the Network Science Community (NSC). To the MBSE community, we hope that HFGT will be accepted as a quantification of many of the structural concepts found in model-based systems engineering languages like SysML. To the NSC, we hope to present a new view as how to construct graphs with fundamentally different meaning and insight. Finally, it is our hope that HFGT serves to overcome many of the theoretical and modeling limitations that have hindered our ability to systematically understand the structure and function of smart cities.
Author: Per Hokstad
Publisher: Springer Science & Business Media
ISBN: 1447146611
Category : Technology & Engineering
Languages : en
Pages : 250
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Book Description
Today’s society is completely dependent on critical networks such as water supply, sewage, electricity, ICT and transportation. Risk and vulnerability analyses are needed to grasp the impact of threats and hazards. However, these become quite complex as there are strong interdependencies both within and between infrastructure systems. Risk and Interdependencies in Critical Infrastructures: A guideline for analysis provides methods for analyzing risks and interdependencies of critical infrastructures. A number of analysis approaches are described and are adapted to each of these infrastructures. Various approaches are also revised, and all are supported by several examples and illustrations. Particular emphasis is given to the analysis of various interdependencies that often exist between the infrastructures. Risk and Interdependencies in Critical Infrastructures: A guideline for analysis provides a good tool to identify the hazards that are threatening your infrastructures, and will enhance the understanding on how these threats can propagate throughout the system and also affect other infrastructures, thereby identifying useful risk reducing measures. It is essential reading for municipalities and infrastructure owners that are obliged to know about and prepare for the risks and vulnerabilities of the critical infrastructures for which they are responsible.
Author: Jim W. Hall
Publisher: Cambridge University Press
ISBN: 1107066026
Category : Business & Economics
Languages : en
Pages : 339
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Book Description
This book sets out a systematic approach to making long-term choices about national infrastructure systems, for practitioners, policy-makers and academics.
Author: Kasthurirangan Gopalakrishnan
Publisher: Springer Science & Business Media
ISBN: 3642114059
Category : Technology & Engineering
Languages : en
Pages : 272
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Book Description
Sustainable and resilient critical infrastructure systems is an emerging paradigm in an evolving era of depleting assets in the midst of natural and man-made threats to provide a sustainable and high quality of life with optimized resources from social, economic, societal and environmental considerations. The increasing complexity and interconnectedness of civil and other interdependent infrastructure systems (electric power, energy, cyber-infrastructures, etc.) require inter- and multidisciplinary expertise required to engineer, monitor, and sustain these distributed large-scale complex adaptive infrastructure systems. This edited book is motivated by recent advances in simulation, modeling, sensing, communications/information, and intelligent and sustainable technologies that have resulted in the development of sophisticated methodologies and instruments to design, characterize, optimize, and evaluate critical infrastructure systems, their resilience, and their condition and the factors that cause their deterioration. Specific topics discussed in this book include, but are not limited to: optimal infrastructure investment allocation for sustainability, framework for manifestation of tacit critical infrastructure knowledge, interdependencies between energy and transportation systems for national long term planning, intelligent transportation infrastructure technologies, emergent research issues in infrastructure interdependence research, framework for assessing the resilience of infrastructure and economic systems, maintenance optimization for heterogeneous infrastructure systems, optimal emergency infrastructure inspection scheduling, and sustainable rehabilitation of deteriorated transportation infrastructure systems.
Author: Yasser Adel Almoghathawi
Publisher:
ISBN:
Category : Emergency management
Languages : en
Pages : 296
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Book Description
Author: E. Goetz
Publisher: Springer
ISBN: 0387754628
Category : Computers
Languages : en
Pages : 394
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Book Description
The information infrastructure--comprising computers, embedded devices, networks and software systems--is vital to operations in every sector. Global business and industry, governments, and society itself, cannot function effectively if major components of the critical information infrastructure are degraded, disabled or destroyed. This book contains a selection of 27 edited papers from the First Annual IFIP WG 11.10 International Conference on Critical Infrastructure Protection.
Author: Juntao Chen
Publisher: Springer
ISBN: 3030234444
Category : Technology & Engineering
Languages : en
Pages : 105
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Book Description
This brief introduces game- and decision-theoretical techniques for the analysis and design of resilient interdependent networks. It unites game and decision theory with network science to lay a system-theoretical foundation for understanding the resiliency of interdependent and heterogeneous network systems. The authors pay particular attention to critical infrastructure systems, such as electric power, water, transportation, and communications. They discuss how infrastructure networks are becoming increasingly interconnected as the integration of Internet of Things devices, and how a single-point failure in one network can propagate to other infrastructures, creating an enormous social and economic impact. The specific topics in the book include: · static and dynamic meta-network resilience game analysis and design; · optimal control of interdependent epidemics spreading over complex networks; and · applications to secure and resilient design of critical infrastructures. These topics are supported by up-to-date summaries of the authors’ recent research findings. The authors then discuss the future challenges and directions in the analysis and design of interdependent networks and explain the role of multi-disciplinary research has in computer science, engineering, public policy, and social sciences fields of study. The brief introduces new application areas in mathematics, economics, and system and control theory, and will be of interest to researchers and practitioners looking for new approaches to assess and mitigate risks in their systems and enhance their network resilience. A Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design also has self-contained chapters, which allows for multiple levels of reading by anyone with an interest in game and decision theory and network science.
Author: Suzan Iloglu
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Effective restoration of infrastructure systems play a crucial role in recovery after disasters. Understanding the functions and services of infrastructure systems, especially during the response to natural and man-made disasters, requires accounting for the interdependencies and decentralized nature of these systems. This issue is particularly critical when delivering time-sensitive services and commodities. We model the recovery of infrastructure systems by including interdependencies between them as network models, and we present three integer programming models. First, we present an integrated restoration and location (IRLP) problem, which is a P-median problem variation, with the objective to minimize the cumulative weighted distance between the emergency responders and the calls for service over the time horizon by coordinating the activities of two types of service providers. We locate emergency responders (facilities) on a network over a finite time horizon while network recovery crews install arcs. The installation part of the problem is modeled as a scheduling problem with identical parallel servers (the repair crews), where an arc can be used by the emergency responders when installation is completed. We propose Lagrangian relaxation formulations of the problem, which we solve using subgradient algorithm. A feasible solution is obtained using the Lagrangian relaxation, which provides an upper bound to the original problem. We test our problem with both real-world data and data sets from Beasley's OR Library to demonstrate the effectiveness of the algorithm in solving large-scale problem. The results shed light on critical components of a network whose restoration can aid emergency response efforts. Second, we present a maximal multiple coverage and network recovery problem for the recovery and restoration of infrastructure systems after disasters. In the model, recovery crews make damaged arcs available by repairing components over a time horizon in a disrupted network. The model relocates emergency responders using the available arcs in the network to maximize multiple coverage of emergency service demand over the time horizon. We present two heuristics for the model. The first uses the Lagrangian and the linear programming relaxation solutions of the problem, and the second uses an integer rounding procedure applied to the linear programming relaxation solution. We test the model using a real-world example representing the road infrastructure and emergency services of the Bronx Borough in New York, NY during Hurricane Sandy. Our computational study suggests that our model can aid emergency managers in achieving their goals by scheduling effective restoration activities for real-time disaster recovery and long-term recovery planning. The results show that the heuristics and algorithms are effective for solving large--scale problem instances. Third, we model the recovery of interdependent infrastructure systems after disasters as a non-cooperative game in a two-layer network, each belongs to a player. The goal of the model is to plan short term recovery of infrastructure systems after a disaster in which each player wants to minimize the cost to satisfy their own demand. For comparison, we present a centralized model, where a central decision maker controls the restoration decisions of both players. The central decision maker plays a role as an authority/third player in the game and splits the recovery budget to each player according to the social welfare solution, which is the optimal solution of the centralized model. In addition, the central decision maker provides incentives to players to motivate them for collaboration in the non-cooperative game. A mechanism is proposed to decide incentives using an inverse optimization method and the inverse optimization mechanism is compared with another mechanism based on an [alpha]-approximation algorithm to decide the fees for using inter-edges. The goal of the mechanisms is to set incentives so that a pure Nash equilibrium aligns with the social welfare solution. We compare the Nash equilibria in which players use fees obtained from the mechanisms. We prove that with the inverse optimization method fees, the centralized optimal solution value becomes a pure Nash equilibrium, and with the [alpha]-approximation algorithm fees, the centralized model optimal solution value becomes an [alpha]-approximate pure Nash equilibrium in the facility location and restoration games. We use the potential function method to analyze the efficiency of the game using the Price of Stability (PoS). We present a case study in which we consider the recovery efforts of telecommunication infrastructure companies and provide results for the facility location and restoration games.
Author: Ilias S. Kotsireas
Publisher: Springer Nature
ISBN: 3030649733
Category : Business & Economics
Languages : en
Pages : 272
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Book Description
Based on the “Fourth International Conference on Dynamics of Disasters” (Kalamata, Greece, July 2019), this volume includes contributions from experts who share their latest discoveries on natural and unnatural disasters. Authors provide overviews of the tactical points involved in disaster relief, outlines of hurdles from mitigation and preparedness to response and recovery, and uses for mathematical models to describe natural and man-made disasters. Topics covered include economics, optimization, machine learning, government, management, business, humanities, engineering, medicine, mathematics, computer science, behavioral studies, emergency services, and environmental studies will engage readers from a wide variety of fields and backgrounds.
