Improving Risk Assessment From The Perspective Of Multi Criteria Decision Making

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Improving Risk Assessment from the Perspective of Multi-Criteria Decision-Making

Author : Zhen Hua
Publisher : Eliva Press
Page : 0 pages
File Size : 45,9 Mb
Release : 2023-02-15
Category : Electronic
ISBN : 9994986376

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Improving Risk Assessment from the Perspective of Multi-Criteria Decision-Making by Zhen Hua Pdf

Failure mode and effect analysis (FMEA) is one of the most powerful reliability analysis techniques for identifying and preventing potential risks across various fields. Current FMEA methods, while effective, still present several shortcomings. First, the crisp numbers cannot effectively elicit experts' fuzzy evaluations. Second, the weight of risk factors (i.e., occurrence, severity and detection) are assumed to be equal, which cannot reflect their different importance. Third, the traditional calculation method for risk priority is coarse and lack practical implications. There may exist the situation that two failure modes have the same risk priority number but with different risk levels. To improve the performance of FMEA, multi-criteria decision-making (MCDM) methods have been employed to support risk evaluation and prioritization in recent years. This book proposes a novel FMEA method by exploring several MCDM techniques. Benefiting from these techniques, the traditional FMEA method can be improved from the above mentioned aspects. First, the ELICIT linguistic model is employed to generate group risk assessments under uncertainty, which can better model experts' uncertain expressions. Then, grey relation analysis (GRA) is incorporated into the decision-making trial and evaluation laboratory (DEMATEL) method to objectively determine the weight of risk factors. Afterward, the traditional outranking method is generalized into the ELICIT environment to prioritize the failure modes. Finally, a case study of FMEA for electro-mechanical actuators is presented to illustrate the effectiveness of the proposed method.

Multi-Criteria Decision Analysis for Risk Assessment and Management

Author : Jingzheng Ren
Publisher : Unknown
Page : 0 pages
File Size : 46,8 Mb
Release : 2021
Category : Electronic
ISBN : 3030781534

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Multi-Criteria Decision Analysis for Risk Assessment and Management by Jingzheng Ren Pdf

This book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book. There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities. The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.

Multi-Criteria Decision Analysis for Risk Assessment and Management

Author : Jingzheng Ren
Publisher : Springer Nature
Page : 254 pages
File Size : 52,9 Mb
Release : 2021-11-13
Category : Science
ISBN : 9783030781521

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Multi-Criteria Decision Analysis for Risk Assessment and Management by Jingzheng Ren Pdf

This book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book. There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities. The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.

Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems

Author : He Li,Mohammad Yazdi
Publisher : Springer Nature
Page : 196 pages
File Size : 41,8 Mb
Release : 2022-07-09
Category : Technology & Engineering
ISBN : 9783031074301

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Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems by He Li,Mohammad Yazdi Pdf

This book reviews and presents several approaches to advanced decision-making models for safety and risk assessment. Each introduced model provides case studies indicating a high level of efficiency, robustness, and applicability, which allow readers to utilize them in their understudy risk-based assessment applications. The book begins by introducing a novel dynamic DEMATEL for improving safety management systems. It then progresses logically, dedicating a chapter to each approach, including advanced FMEA with probabilistic linguistic preference relations, Bayesian Network approach and interval type-2 fuzzy set, advanced TOPSIS with spherical fuzzy set, and advanced BWM with neutrosophic fuzzy set and evidence theory. This book will be of interest to professionals and researchers working in the field of system safety and reliability and postgraduate and undergraduate students studying applications of decision-making tools and expert systems.

Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis

Author : Adiel Teixeira de Almeida,Cristiano Alexandre Virgínio Cavalcante,Marcelo Hazin Alencar,Rodrigo José Pires Ferreira,Adiel Teixeira de Almeida-Filho,Thalles Vitelli Garcez
Publisher : Springer
Page : 395 pages
File Size : 47,9 Mb
Release : 2015-07-01
Category : Business & Economics
ISBN : 9783319179698

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Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis by Adiel Teixeira de Almeida,Cristiano Alexandre Virgínio Cavalcante,Marcelo Hazin Alencar,Rodrigo José Pires Ferreira,Adiel Teixeira de Almeida-Filho,Thalles Vitelli Garcez Pdf

This book integrates multiple criteria concepts and methods for problems within the Risk, Reliability and Maintenance (RRM) context. The concepts and foundations related to RRM are considered for this integration with multicriteria approaches. In the book, a general framework for building decision models is presented and this is illustrated in various chapters by discussing many different decision models related to the RRM context. The scope of the book is related to ways of how to integrate Applied Probability and Decision Making. In Applied Probability, this mainly includes: decision analysis and reliability theory, amongst other topics closely related to risk analysis and maintenance. In Decision Making, it includes a broad range of topics in MCDM (Multi-Criteria Decision Making) and MCDA (Multi-Criteria Decision Aiding; also known as Multi-Criteria Decision Analysis). In addition to decision analysis, some of the topics related to Mathematical Programming area are briefly considered, such as multiobjective optimization, since methods related to these topics have been applied to the context of RRM. The book addresses an innovative treatment for the decision making in RRM, thereby improving the integration of fundamental concepts from the areas of both RRM and decision making. This is accomplished by presenting an overview of the literature on decision making in RRM. Some pitfalls of decision models when applying them to RRM in practice are discussed and guidance on overcoming these drawbacks is offered. The procedure enables multicriteria models to be built for the RRM context, including guidance on choosing an appropriate multicriteria method for a particular problem faced in the RRM context. The book also includes many research advances in these topics. Most of the multicriteria decision models that are described are specific applications that have been influenced by this research and the advances in this field. Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis is implicitly structured in three parts, with 12 chapters. The first part deals with MCDM/A concepts methods and decision processes. The second part presents the main concepts and foundations of RRM. Finally the third part deals with specific decision problems in the RRM context approached with MCDM/A models.

Public Safety and Risk Assessment

Author : David J. Ball,Laurence Ball-King
Publisher : Routledge
Page : 249 pages
File Size : 55,6 Mb
Release : 2014-04-08
Category : Business & Economics
ISBN : 9781317972402

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Public Safety and Risk Assessment by David J. Ball,Laurence Ball-King Pdf

This book aims to encourage a more reflective, multidisciplinary approach to public safety, and the 'reenfranchisement' of those affected by this new phenomenon. Over the past decade health and safety has become a major issue of public interest. There are countless stories of health and safety activities interfering with public life, preventing some beneficial activity from taking place – even creating absurd or dangerous situations. On the one hand, risk assessment, properly conducted, is highly beneficial – it saves lives and prevents injuries. But on the other, it can damage public life. Why has this come about, and does it have to be like that? The authors examine the origins of the problem, look critically at the tools used by safety assessors and their underlying assumptions, and consider important differences between public life and industry (where the approaches largely originated). They illuminate the whole with an analysis of legal requirements, attitudes of stakeholders, and recent research on risk perception and decision making. The result is a profound and important analysis of risk and safety culture and a framework for managing public safety more effectively.

Ethical and Scientific Issues in Studying the Safety of Approved Drugs

Author : Institute of Medicine,Board on Population Health and Public Health Practice,Committee on Ethical and Scientific Issues in Studying the Safety of Approved Drugs
Publisher : National Academies Press
Page : 292 pages
File Size : 51,8 Mb
Release : 2012-07-30
Category : Medical
ISBN : 9780309218160

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Ethical and Scientific Issues in Studying the Safety of Approved Drugs by Institute of Medicine,Board on Population Health and Public Health Practice,Committee on Ethical and Scientific Issues in Studying the Safety of Approved Drugs Pdf

An estimated 48 percent of the population takes at least one prescription drug in a given month. Drugs provide great benefits to society by saving or improving lives. Many drugs are also associated with side effects or adverse events, some serious and some discovered only after the drug is on the market. The discovery of new adverse events in the postmarketing setting is part of the normal natural history of approved drugs, and timely identification and warning about drug risks are central to the mission of the Food and Drug Administration (FDA). Not all risks associated with a drug are known at the time of approval, because safety data are collected from studies that involve a relatively small number of human subjects during a relatively short period. Written in response to a request by the FDA, Ethical and Scientific Issues in Studying the Safety of Approved Drugs discusses ethical and informed consent issues in conducting studies in the postmarketing setting. It evaluates the strengths and weaknesses of various approaches to generate evidence about safety questions, and makes recommendations for appropriate followup studies and randomized clinical trials. The book provides guidance to the FDA on how it should factor in different kinds of evidence in its regulatory decisions. Ethical and Scientific Issues in Studying the Safety of Approved Drugs will be of interest to the pharmaceutical industry, patient advocates, researchers, and consumer groups.

Integrating Comparative Risk Assessment and Multi-criteria Decision Analysis

Author : Gregory Alan Kiker,Igor Linkov,Todd S. Bridges,Engineer Research and Development Center (U.S.),Environmental Laboratory (U.S.)
Publisher : Unknown
Page : 15 pages
File Size : 55,7 Mb
Release : 2007
Category : Environmental risk assessment
ISBN : OCLC:881852149

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Integrating Comparative Risk Assessment and Multi-criteria Decision Analysis by Gregory Alan Kiker,Igor Linkov,Todd S. Bridges,Engineer Research and Development Center (U.S.),Environmental Laboratory (U.S.) Pdf

A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015

Author : Abbas Mardania ,Edmundas Kazimieras Zavadskas,Zainab Khalifah,Norhayati Zakuan,Ahmad Jusoh,Khalil Md Nor,Masoumeh Khoshnoudi
Publisher : Infinite Study
Page : 41 pages
File Size : 52,9 Mb
Release : 2024-06-01
Category : Electronic
ISBN : 8210379456XXX

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A review of multi-criteria decision-making applications to solve energy management problems: Two decades from 1995 to 2015 by Abbas Mardania ,Edmundas Kazimieras Zavadskas,Zainab Khalifah,Norhayati Zakuan,Ahmad Jusoh,Khalil Md Nor,Masoumeh Khoshnoudi Pdf

Energy management problems associated with rapid institutional, political, technical, ecological, social and economic development have been of critical concern to both national and local governments worldwide for many decades; thus, addressing such issues is a global priority.

Multiple Criteria Decision Analysis

Author : Valerie Belton,Theodor Stewart
Publisher : Springer Science & Business Media
Page : 381 pages
File Size : 53,8 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461514954

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Multiple Criteria Decision Analysis by Valerie Belton,Theodor Stewart Pdf

The field of multiple criteria decision analysis (MCDA), also termed multiple criteria decision aid, or multiple criteria decision making (MCDM), has developed rapidly over the past quarter century and in the process a number of divergent schools of thought have emerged. This can make it difficult for a new entrant into the field to develop a comprehensive appreciation of the range of tools and approaches which are available to assist decision makers in dealing with the ever-present difficulties of seeking compromise or consensus between conflicting inter ests and goals, i.e. the "multiple criteria". The diversity of philosophies and models makes it equally difficult for potential users of MCDA, i.e. management scientists and/or decision makers facing problems involving conflicting goals, to gain a clear understanding of which methodologies are appropriate to their particular context. Our intention in writing this book has been to provide a compre hensive yet widely accessible overview of the main streams of thought within MCDA. We aim to provide readers with sufficient awareness of the underlying philosophies and theories, understanding of the practi cal details of the methods, and insight into practice to enable them to implement any of the approaches in an informed manner. As the title of the book indicates, our emphasis is on developing an integrated view of MCDA, which we perceive to incorporate both integration of differ ent schools of thought within MCDA, and integration of MCDA with broader management theory, science and practice.

Engineering Decision Making and Risk Management

Author : Jeffrey W. Herrmann
Publisher : John Wiley & Sons
Page : 355 pages
File Size : 52,9 Mb
Release : 2015-04-06
Category : Business & Economics
ISBN : 9781118919330

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Engineering Decision Making and Risk Management by Jeffrey W. Herrmann Pdf

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.

Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment

Author : Muhammet Gul,Suleyman Mete,Faruk Serin,Erkan Celik
Publisher : Springer Nature
Page : 173 pages
File Size : 43,8 Mb
Release : 2020-09-29
Category : Technology & Engineering
ISBN : 9783030521486

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Fine–Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment by Muhammet Gul,Suleyman Mete,Faruk Serin,Erkan Celik Pdf

This book presents a number of approaches to Fine–Kinney–based multi-criteria occupational risk-assessment. For each proposed approach, it provides case studies demonstrating their applicability, as well as Python coding, which will enable readers to implement them into their own risk assessment process. The book begins by giving a review of Fine–Kinney occupational risk-assessment methods and their extension by fuzzy sets. It then progresses in a logical fashion, dedicating a chapter to each approach, including the fuzzy best and worst method, interval-valued Pythagorean fuzzy VIKOR and interval type-2 fuzzy QUALIFLEX. This book will be of interest to professionals and researchers working in the field of occupational risk management, as well as postgraduate and undergraduate students studying applications of fuzzy systems.

Applications in Reliability and Statistical Computing

Author : Hoang Pham
Publisher : Springer Nature
Page : 310 pages
File Size : 47,7 Mb
Release : 2023-02-15
Category : Technology & Engineering
ISBN : 9783031212321

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Applications in Reliability and Statistical Computing by Hoang Pham Pdf

This book discusses practical applications of reliability and statistical methods and techniques in various disciplines, using machine learning, artificial intelligence, optimization, and other computation methods. Bringing together research from international experts, each chapter aims to cover both methods and practical aspects on reliability or statistical computations with emphasis on applications. 5G and IoT are set to generate an estimated 1 billion terabytes of data by 2025 and companies continue to search for new techniques and tools that can help them practice data collection effectively in promoting their business. This book explores the era of big data through reliability and statistical computing, showcasing how almost all applications in our daily life have experienced a dramatic shift in the past two decades to a truly global industry. Including numerous illustrations and worked examples, the book is of interest to researchers, practicing engineers, and postgraduate students in the fields of reliability engineering, statistical computing, and machine learning.

Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis

Author : Adiel Teixeira de Almeida,Love Ekenberg,Philip Scarf,Enrico Zio,Ming J. Zuo
Publisher : Springer Nature
Page : 502 pages
File Size : 42,9 Mb
Release : 2022-06-28
Category : Business & Economics
ISBN : 9783030896478

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Multicriteria and Optimization Models for Risk, Reliability, and Maintenance Decision Analysis by Adiel Teixeira de Almeida,Love Ekenberg,Philip Scarf,Enrico Zio,Ming J. Zuo Pdf

This book considers a broad range of areas from decision making methods applied in the contexts of Risk, Reliability and Maintenance (RRM). Intended primarily as an update of the 2015 book Multicriteria and Multiobjective Models for Risk, Reliability and Maintenance Decision Analysis, this edited work provides an integration of applied probability and decision making. Within applied probability, it primarily includes decision analysis and reliability theory, amongst other topics closely related to risk analysis and maintenance. In decision making, it includes multicriteria decision making/aiding (MCDM/A) methods and optimization models. Within MCDM, in addition to decision analysis, some of the topics related to mathematical programming areas are considered, such as multiobjective linear programming, multiobjective nonlinear programming, game theory and negotiations, and multiobjective optimization. Methods related to these topics have been applied to the context of RRM. In MCDA, several other methods are considered, such as outranking methods, rough sets and constructive approaches. The book addresses an innovative treatment of decision making in RRM, improving the integration of fundamental concepts from both areas of RRM and decision making. This is accomplished by presenting current research developments in decision making on RRM. Some pitfalls of decision models on practical applications on RRM are discussed and new approaches for overcoming those drawbacks are presented.

Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes

Author : Edmundas Kazimieras Zavadskas,Dragan Pamučar,Željko Stević,Abbas Mardani
Publisher : MDPI
Page : 490 pages
File Size : 55,5 Mb
Release : 2020-12-15
Category : Science
ISBN : 9783039367788

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Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes by Edmundas Kazimieras Zavadskas,Dragan Pamučar,Željko Stević,Abbas Mardani Pdf

The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 different countries explore aspects of multi-criteria modeling and optimization in crisp or uncertain environments. The papers propose new approaches and elaborate case studies in the following areas of application: MCDM optimization in sustainable engineering, environmental sustainability in engineering processes, sustainable multi-criteria production and logistics processes planning, integrated approaches for modeling processes in engineering, new trends in the multi-criteria evaluation of sustainable processes, and multi-criteria decision-making in strategic management based on sustainable criteria.