Author: He Li
Publisher: Springer Nature
ISBN: 3031074300
Category : Technology & Engineering
Languages : en
Pages : 196
Book Description
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.
Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems
Author: He Li
Publisher: Springer Nature
ISBN: 3031074300
Category : Technology & Engineering
Languages : en
Pages : 196
Book Description
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.
Publisher: Springer Nature
ISBN: 3031074300
Category : Technology & Engineering
Languages : en
Pages : 196
Book Description
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.
Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems
Author: He Li
Publisher:
ISBN: 9783031074318
Category :
Languages : en
Pages : 0
Book Description
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.
Publisher:
ISBN: 9783031074318
Category :
Languages : en
Pages : 0
Book Description
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.
Progressive Decision-Making Tools and Applications in Project and Operation Management
Author: Mohammad Yazdi
Publisher: Springer Nature
ISBN: 3031517199
Category :
Languages : en
Pages : 274
Book Description
Publisher: Springer Nature
ISBN: 3031517199
Category :
Languages : en
Pages : 274
Book Description
Artificial Intelligence in Workplace Health and Safety
Author: Mohammad Yazdi
Publisher: CRC Press
ISBN: 1040260829
Category : Technology & Engineering
Languages : en
Pages : 134
Book Description
In today's dynamic workplace environment, ensuring the safety and well-being of employees has never been more critical. This book explores cutting-edge technologies intersecting with workplace safety to deliver effective and practical results. Artificial Intelligence in Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques offers a comprehensive roadmap for professionals, researchers, and practitioners in work health and safety (WHS), revolutionizing traditional approaches through the integration of data-driven methodologies and artificial intelligence. Covering the foundations and practical applications of data-driven WHS and historical perspectives to current regulatory frameworks, it investigates the key concepts of data collection, management, and integration. Through real-world case studies and examples, readers can discover how AI technologies such as machine learning, computer vision, and natural language processing are reshaping WHS practices, mitigating risks, and optimizing safety measures. The reader will learn applications of AI and data-driven methodologies in their workplace settings to improve safety. With its practical insights, real-world examples, and progressive approach, this title ensures that readers are not just prepared for the future of WHS but empowered to shape it for better. This text is written for professionals and practitioners seeking to enhance workplace safety through innovative technologies. This extends to safety professionals, HR personnel and engineers across different sectors.
Publisher: CRC Press
ISBN: 1040260829
Category : Technology & Engineering
Languages : en
Pages : 134
Book Description
In today's dynamic workplace environment, ensuring the safety and well-being of employees has never been more critical. This book explores cutting-edge technologies intersecting with workplace safety to deliver effective and practical results. Artificial Intelligence in Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques offers a comprehensive roadmap for professionals, researchers, and practitioners in work health and safety (WHS), revolutionizing traditional approaches through the integration of data-driven methodologies and artificial intelligence. Covering the foundations and practical applications of data-driven WHS and historical perspectives to current regulatory frameworks, it investigates the key concepts of data collection, management, and integration. Through real-world case studies and examples, readers can discover how AI technologies such as machine learning, computer vision, and natural language processing are reshaping WHS practices, mitigating risks, and optimizing safety measures. The reader will learn applications of AI and data-driven methodologies in their workplace settings to improve safety. With its practical insights, real-world examples, and progressive approach, this title ensures that readers are not just prepared for the future of WHS but empowered to shape it for better. This text is written for professionals and practitioners seeking to enhance workplace safety through innovative technologies. This extends to safety professionals, HR personnel and engineers across different sectors.
Advances in Computational Mathematics for Industrial System Reliability and Maintainability
Author: Mohammad Yazdi
Publisher: Springer Nature
ISBN: 3031535146
Category :
Languages : en
Pages : 201
Book Description
Publisher: Springer Nature
ISBN: 3031535146
Category :
Languages : en
Pages : 201
Book Description
Safety Causation Analysis in Sociotechnical Systems
Author: Esmaeil Zarei
Publisher: Springer Nature
ISBN: 303162470X
Category : Electronic books
Languages : en
Pages : 537
Book Description
Publisher: Springer Nature
ISBN: 303162470X
Category : Electronic books
Languages : en
Pages : 537
Book Description
Reliability Assessment and Optimization of Complex Systems
Author: Akshay Kumar
Publisher: Elsevier
ISBN: 0443291136
Category : Technology & Engineering
Languages : en
Pages : 490
Book Description
Reliability Assessment and Optimization of Complex Systems delves into a range of tools and techniques for designing optimized complex systems. Each chapter explores system modeling and the implementation of various metaheuristics for optimization purposes. This book provides readers in the domain of applied mathematics with a comprehensive understanding of system reliability analysis and improvement, thereby offering substantial value to their knowledge and expertise. System reliability has become the paramount attribute of any production unit. The process of maximizing system reliability while adhering to multiple constraints is referred to as reliability optimization.There are two primary approaches to enhancing a system's performance and reliability: developing a product with reduced failures (failure avoidance) or incorporating resilience to ensure the system continues functioning even in the event of a failure (fault tolerance). - Explains the process and application of reliability-based design optimization - Covers many metaheuristic approaches such as reliability, cost, and the MTTF of the system - Provides the workings and applications of multi-objective optimizations
Publisher: Elsevier
ISBN: 0443291136
Category : Technology & Engineering
Languages : en
Pages : 490
Book Description
Reliability Assessment and Optimization of Complex Systems delves into a range of tools and techniques for designing optimized complex systems. Each chapter explores system modeling and the implementation of various metaheuristics for optimization purposes. This book provides readers in the domain of applied mathematics with a comprehensive understanding of system reliability analysis and improvement, thereby offering substantial value to their knowledge and expertise. System reliability has become the paramount attribute of any production unit. The process of maximizing system reliability while adhering to multiple constraints is referred to as reliability optimization.There are two primary approaches to enhancing a system's performance and reliability: developing a product with reduced failures (failure avoidance) or incorporating resilience to ensure the system continues functioning even in the event of a failure (fault tolerance). - Explains the process and application of reliability-based design optimization - Covers many metaheuristic approaches such as reliability, cost, and the MTTF of the system - Provides the workings and applications of multi-objective optimizations
Relativity in Business
Author: Kushal Anjaria
Publisher: Cambridge Scholars Publishing
ISBN: 1036406679
Category : Business & Economics
Languages : en
Pages : 377
Book Description
‘Relativity in Business: How Physics Shapes Management Science’ unveils the intriguing overlap between physics and management, providing a novel outlook on business strategy and organisational behaviour. It leverages concepts from motion, thermodynamics, quantum mechanics, and chaos theory, among others, to forge a groundbreaking framework for addressing business complexities. Aimed at managers, strategists, and academics, the book translates intricate physics into actionable insights for business challenges, such as optimising operations and leveraging chaos for organisational benefit. Through compelling case studies, it shows how applying physics principles can spur innovation and cultivate efficient, sustainable business practices. This text is a valuable tool for anyone interested in melding scientific principles with business strategy to enhance outcomes, making it a seminal read in the fusion of science and management.
Publisher: Cambridge Scholars Publishing
ISBN: 1036406679
Category : Business & Economics
Languages : en
Pages : 377
Book Description
‘Relativity in Business: How Physics Shapes Management Science’ unveils the intriguing overlap between physics and management, providing a novel outlook on business strategy and organisational behaviour. It leverages concepts from motion, thermodynamics, quantum mechanics, and chaos theory, among others, to forge a groundbreaking framework for addressing business complexities. Aimed at managers, strategists, and academics, the book translates intricate physics into actionable insights for business challenges, such as optimising operations and leveraging chaos for organisational benefit. Through compelling case studies, it shows how applying physics principles can spur innovation and cultivate efficient, sustainable business practices. This text is a valuable tool for anyone interested in melding scientific principles with business strategy to enhance outcomes, making it a seminal read in the fusion of science and management.
Advanced Data Mining and Applications
Author: Xue Li
Publisher: Springer Science & Business Media
ISBN: 354027894X
Category : Business & Economics
Languages : en
Pages : 852
Book Description
This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The conference was focused on sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining, biomedical data mining, and mining on high-speed and time-variant data streams; an expansion of data mining to new applications is also strived for. The 25 revised full papers and 75 revised short papers presented were carefully peer-reviewed and selected from over 600 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.
Publisher: Springer Science & Business Media
ISBN: 354027894X
Category : Business & Economics
Languages : en
Pages : 852
Book Description
This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The conference was focused on sophisticated techniques and tools that can handle new fields of data mining, e.g. spatial data mining, biomedical data mining, and mining on high-speed and time-variant data streams; an expansion of data mining to new applications is also strived for. The 25 revised full papers and 75 revised short papers presented were carefully peer-reviewed and selected from over 600 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.
NASA Technical Memorandum
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 260
Book Description
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 260
Book Description