Jhareswar Maiti – författare

The book focuses on problem solving for practitioners and model building for academicians under multivariate situations. This book helps readers in understanding the issues, such as knowing variability, extracting patterns, building relationships, and making objective decisions. A large number of multivariate statistical models are covered in the book. The readers will learn how a practical problem can be converted to a statistical problem and how the statistical solution can be interpreted as a practical solution.Key features:Links data generation process with statistical distributions in multivariate domainProvides step by step procedure for estimating parameters of developed modelsProvides blueprint for data driven decision makingIncludes practical examples and case studies relevant for intended audiencesThe book will help everyone involved in data driven problem solving, modeling and decision making.

The book focuses on problem solving for practitioners and model building for academicians under multivariate situations. This book helps readers in understanding the issues, such as knowing variability, extracting patterns, building relationships, and making objective decisions. A large number of multivariate statistical models are covered in the book. The readers will learn how a practical problem can be converted to a statistical problem and how the statistical solution can be interpreted as a practical solution.Key features:Links data generation process with statistical distributions in multivariate domainProvides step by step procedure for estimating parameters of developed modelsProvides blueprint for data driven decision makingIncludes practical examples and case studies relevant for intended audiencesThe book will help everyone involved in data driven problem solving, modeling and decision making.

This edited volume focuses on research conducted in the area of ergonomic design. Chapters are extensions of works presented at the International Conference on Management of Ergonomic Design, Industrial Safety and Healthcare Systems. The book addresses the need to have the knowledge of ergonomics, human factors engineering and safety engineering in order to make worksystems ergonomically designed, operationally safe and productive. It is a useful resource for students, researchers, industrial professionals, and design engineers.

This edited volume focuses on research conducted in the area of healthcare systems management. Chapters are extensions of works presented at the International Conference on Management of Ergonomic Design, Industrial Safety and Healthcare Systems. The book addresses the need to have the knowledge of technological and resource management, clinical performances and quality of healthcare delivery systems in order to make hospital systems well and adequately designed and operationally effective ensuring the quality of healthcare to patients. It is a useful resource for students, researchers, industrial professionals and design engineers.

This edited volume focuses on research conducted in the area of ergonomic design. The book addresses the need to have the knowledge of ergonomics, human factors engineering and safety engineering in order to make worksystems ergonomically designed, operationally safe and productive.

The book addresses the need to have the knowledge of technological and resource management, clinical performances and quality of healthcare delivery systems in order to make hospital systems well and adequately designed and operationally effective ensuring the quality of healthcare to patients.

This book, Recent Advances in Industrial and Systems Engineering, presents 19 peer reviewed articles from the International Conference on Industrial Engineering & Analytics (ICONIEA 2024), organized by the Department of Industrial and Systems Engineering at IIT Kharagpur, India. Focused on the theme "Data to Decisions," the conference highlighted data-driven solutions for modern industrial engineering problems. The volume is divided into four sections: Supply Chain Innovations and Sustainable Business Strategies, which examines sustainable models and data analytics for enhancing supply chain responsiveness and sustainability; Human-Centered Design and Ergonomics, exploring workplace ergonomics to improve health, safety, and productivity; Smart Manufacturing Systems and Industry 4.0, which highlights innovations in manufacturing through Industry 4.0 technologies such as digital twins and human-machine interaction; and Quality Assurance, Reliability, and Safety Engineering, focusing on predictive maintenance, risk assessment, and quality control to enhance industrial reliability and safety. The book offers valuable insights for researchers, students, and practitioners, providing a comprehensive view of the latest advancements in industrial engineering and analytics. The book shall be of interest to readers who wants to acquaint themselves with the latest developments in the field of Industrial and Systems Engineering. The articles presented in this book shall be of interest to industry professionals, researchers in Industrial Engineering, data scientists, operations managers, and policy makers.