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Engineering Decision Making and Risk Management

Engineering Decision Making and Risk Management
Author: Jeffrey W. Herrmann
Publisher: John Wiley & Sons
Total Pages: 356
Release: 2015-04-06
Genre: Business & Economics
ISBN: 1118919335

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IIE/Joint Publishers Book of the Year Award 2016! Awarded for ‘an outstanding published book that focuses on a facet of industrial engineering, improves education, or furthers the profession’. Engineering Decision Making and Risk Management emphasizes practical issues and examples of decision making with applications in engineering design and management Featuring a blend of theoretical and analytical aspects, this book presents multiple perspectives on decision making to better understand and improve risk management processes and decision-making systems. Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making systems. The author highlights formal techniques for group decision making and game theory and includes numerical examples to compare and contrast different quantitative techniques. The importance of initially selecting the most appropriate decision-making process is emphasized through practical examples and applications that illustrate a variety of useful processes. Presenting an approach for modeling and improving decision-making systems, Engineering Decision Making and Risk Management also features: Theoretically sound and practical tools for decision making under uncertainty, multi-criteria decision making, group decision making, the value of information, and risk management Practical examples from both historical and current events that illustrate both good and bad decision making and risk management processes End-of-chapter exercises for readers to apply specific learning objectives and practice relevant skills A supplementary website with instructional support material, including worked solutions to the exercises, lesson plans, in-class activities, slides, and spreadsheets An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book is also an ideal reference for academics and practitioners in business and management science, operations research, engineering design, systems engineering, applied mathematics, and statistics.


Engineering Decision Making and Risk Management

Engineering Decision Making and Risk Management
Author: Jeffrey W. Herrmann
Publisher: John Wiley & Sons
Total Pages: 360
Release: 2015-03-13
Genre: Business & Economics
ISBN: 1118919386

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IIE/Joint Publishers Book of the Year Award 2016! Awarded for ‘an outstanding published book that focuses on a facet of industrial engineering, improves education, or furthers the profession’. Engineering Decision Making and Risk Management emphasizes practical issues and examples of decision making with applications in engineering design and management Featuring a blend of theoretical and analytical aspects, this book presents multiple perspectives on decision making to better understand and improve risk management processes and decision-making systems. Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making systems. The author highlights formal techniques for group decision making and game theory and includes numerical examples to compare and contrast different quantitative techniques. The importance of initially selecting the most appropriate decision-making process is emphasized through practical examples and applications that illustrate a variety of useful processes. Presenting an approach for modeling and improving decision-making systems, Engineering Decision Making and Risk Management also features: Theoretically sound and practical tools for decision making under uncertainty, multi-criteria decision making, group decision making, the value of information, and risk management Practical examples from both historical and current events that illustrate both good and bad decision making and risk management processes End-of-chapter exercises for readers to apply specific learning objectives and practice relevant skills A supplementary website with instructional support material, including worked solutions to the exercises, lesson plans, in-class activities, slides, and spreadsheets An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book is also an ideal reference for academics and practitioners in business and management science, operations research, engineering design, systems engineering, applied mathematics, and statistics.


Decision Making in Systems Engineering and Management

Decision Making in Systems Engineering and Management
Author: Gregory S. Parnell
Publisher: John Wiley & Sons
Total Pages: 427
Release: 2011-03-16
Genre: Technology & Engineering
ISBN: 0470934719

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Decision Making in Systems Engineering and Management is a comprehensive textbook that provides a logical process and analytical techniques for fact-based decision making for the most challenging systems problems. Grounded in systems thinking and based on sound systems engineering principles, the systems decisions process (SDP) leverages multiple objective decision analysis, multiple attribute value theory, and value-focused thinking to define the problem, measure stakeholder value, design creative solutions, explore the decision trade off space in the presence of uncertainty, and structure successful solution implementation. In addition to classical systems engineering problems, this approach has been successfully applied to a wide range of challenges including personnel recruiting, retention, and management; strategic policy analysis; facilities design and management; resource allocation; information assurance; security systems design; and other settings whose structure can be conceptualized as a system.


Construction Risk Management Decision Making

Construction Risk Management Decision Making
Author: Alex C. Arthur
Publisher: John Wiley & Sons
Total Pages: 436
Release: 2021-12-13
Genre: Technology & Engineering
ISBN: 1119693004

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CONSTRUCTION RISK MANAGEMENT DECISION MAKING Explores the relevance of systems thinking and behavioral science in construction risk management Effective risk management is a vital component of all successful construction projects. Although quantitative tools for evaluating data and minimizing risk are readily available, construction managers commonly adopt a more innate, experience-based approach. In Construction Risk Management Decision Making, project manager and senior consultant Alex C. Arthur provides step-by-step advice on assessing and prioritizing risk using qualitative decision-making systems in the construction industry. Incorporating key theories and concepts from systems thinking and behavioral science, this highly practical guide focuses on the behavior patterns of real people in the industry, rather than complex quantitative techniques and data. Concise, easy-to-understand chapters highlight the current practices of construction risk management while helping readers view risk and decision making from a broader perspective. Throughout the book, the author presents invaluable insights into the ways construction professionals think and behave in the real world. Addresses the actual risk management practices of construction professionals Applies human behavioral theories to the study of construction risk management decision making Illustrates the highly intuitive approaches prevalent in various construction projects Features real-life case studies and practical examples throughout Construction Risk Management Decision Making is an excellent textbook for advanced students in project management, engineering, construction, and surveying courses, and a must-have guide for practitioners of construction management, surveying, and architecture.


Engineering Managerial Economic Decision and Risk Analysis

Engineering Managerial Economic Decision and Risk Analysis
Author: Teddy Steven Cotter
Publisher: Springer Nature
Total Pages: 490
Release: 2021-11-18
Genre: Technology & Engineering
ISBN: 3030877671

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This book directs the engineering manager or the undergraduate student preparing to become an engineering manager, who is or will become actively engaged in the management of economic-risk trade-off decisions for engineering investments within an organizational system. In today’s global economy, this may mean managing the economic risks of engineering investments across national boundaries in international organizations, government, or service organizations. As such, this is an applied book. The book’s goal is to provide an easy to understand, up to date, and coherent treatment of the management of the economic-risk trade-offs of engineering investments. This book accomplishes this goal by cumulatively sequencing knowledge content from foundational economic and accounting concepts to cost estimating to the traditional engineering economics knowledge culminating in fundamental engineering managerial economic decision-making incorporating risk into engineering management economic decisions.


What Every Engineer Should Know About Decision Making Under Uncertainty

What Every Engineer Should Know About Decision Making Under Uncertainty
Author: John X. Wang
Publisher: CRC Press
Total Pages: 342
Release: 2002-07-01
Genre: Technology & Engineering
ISBN: 9780203910757

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Covering the prediction of outcomes for engineering decisions through regression analysis, this succinct and practical reference presents statistical reasoning and interpretational techniques to aid in the decision making process when faced with engineering problems. The author emphasizes the use of spreadsheet simulations and decision trees as important tools in the practical application of decision making analyses and models to improve real-world engineering operations. He offers insight into the realities of high-stakes engineering decision making in the investigative and corporate sectors by optimizing engineering decision variables to maximize payoff.


Quantitative Risk Management and Decision Making in Construction

Quantitative Risk Management and Decision Making in Construction
Author: Amarjit Singh
Publisher: ASCE Press
Total Pages: 0
Release: 2017
Genre: Construction industry
ISBN: 9780784414637

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Singh introduces valuable techniques for weighing and evaluating alternatives in decision making with a focus on risk analysis for identifying, quantifying, and mitigating risks associated with construction projects.


Process Systems Risk Management

Process Systems Risk Management
Author: Ian T. Cameron
Publisher: Elsevier
Total Pages: 631
Release: 2005-06-14
Genre: Technology & Engineering
ISBN: 0080455107

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Process Systems Risk Management provides complete coverage of risk management concepts and applications for safe design and operation of industrial and other process facilities. The whole life cycle of the process or product is taken into account, from its conception to decommissioning. The breadth of human factors in risk management is also treated, ranging from personnel and public safety to environmental impact and business interruption. This unique approach to process risk management is firmly grounded in systems engineering. Numerous examples are used to illustrate important concepts –drawn from almost 40 years authors’ experience in risk analysis, assessment and management, with applications in both on- and off-shore operations. This book is essential reading on the relevant techniques to tackle risk management activities for small-, medium- and large-scale operations in the process industries. It is aimed at informing a wide audience of industrial risk management practitioners, including plant managers, engineers, health professionals, town planners, and administrators of regulatory agencies. A computational perspective on the risk management of chemical processes A multifaceted approach that includes the technical, social, human and management factors Includes numerous examples and illustrations from real life incidents


Engineering Decision Making and Risk Management

Engineering Decision Making and Risk Management
Author: Jeffrey W. Herrmann
Publisher: John Wiley & Sons
Total Pages: 356
Release: 2015-03-19
Genre: Business & Economics
ISBN: 1118919378

Download Engineering Decision Making and Risk Management Book in PDF, ePub and Kindle

IIE/Joint Publishers Book of the Year Award 2016! Awarded for ‘an outstanding published book that focuses on a facet of industrial engineering, improves education, or furthers the profession’. Engineering Decision Making and Risk Management emphasizes practical issues and examples of decision making with applications in engineering design and management Featuring a blend of theoretical and analytical aspects, this book presents multiple perspectives on decision making to better understand and improve risk management processes and decision-making systems. Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making systems. The author highlights formal techniques for group decision making and game theory and includes numerical examples to compare and contrast different quantitative techniques. The importance of initially selecting the most appropriate decision-making process is emphasized through practical examples and applications that illustrate a variety of useful processes. Presenting an approach for modeling and improving decision-making systems, Engineering Decision Making and Risk Management also features: Theoretically sound and practical tools for decision making under uncertainty, multi-criteria decision making, group decision making, the value of information, and risk management Practical examples from both historical and current events that illustrate both good and bad decision making and risk management processes End-of-chapter exercises for readers to apply specific learning objectives and practice relevant skills A supplementary website with instructional support material, including worked solutions to the exercises, lesson plans, in-class activities, slides, and spreadsheets An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book is also an ideal reference for academics and practitioners in business and management science, operations research, engineering design, systems engineering, applied mathematics, and statistics.


Decision Making in Engineering Design

Decision Making in Engineering Design
Author: Kemper E. Lewis
Publisher: American Society of Mechanical Engineers
Total Pages: 360
Release: 2006
Genre: Technology & Engineering
ISBN:

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Whether you are an engineer facing decisions in product design, an instructor or student engaged in course work, or a researcher exploring new options and opportunities, you can turn to Decision Making in Engineering Design for: Foundations and fundamentals of making decisions in product design; Clear examples of effective application of Decision-Based Design; State-of-the-art theory and practice in Decision-Based Design; Thoughtful insights on validation, uncertainty, preferences, distributed design, demand modeling, and other issues; End-of-chapter exercise problems to facilitate learning. With this advanced text, you become current with research results on DBD developed since the inception of The Open Workshop on Decision-Based Design, a project funded by the National Science Foundation.