Overview
Consists of advances in data intelligence and its applications in sustainable computing
Explains the real-life problems that manufacturing industries face due to lack of safety and sustainability practices
Describes a collection of the best ergonomic practices applied by manufacturing or service managers
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About this book
This book explores sustainability and innovation in manufacturing, encompassing three distinct parts. The first section delves into Sustainability in Manufacturing, where it analyzes topics like intelligent manufacturing, Industry 4.0 challenges, structural equation modeling for social sustainability, barriers to intelligent manufacturing systems, and critical success factors in Six Sigma deployment. The second part of the book, comprising Chapters 6-11, focuses on Ergonomics and Safety in manufacturing, examining cases related to health issues caused by factors like noise, high-temperature working conditions, ergonomic posture, and design attributes for ergonomic products. Lastly, Part III, consisting of Chapters 12-14, explores computational techniques applied in manufacturing, addressing issues such as vegetable waste in India, technology transfer models for university-industry collaboration, and the application of System Dynamics in safety management systems. Together, these chapters provide a comprehensive overview of sustainability, ergonomics, safety, and computational techniques in the manufacturing industry.
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Keywords
Table of contents (14 chapters)
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Front Matter
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Sustainability in Manufacturing
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Front Matter
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Ergonomics and Safety
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Front Matter
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Editors and Affiliations
About the editors
Arturo Realyvásquez Vargas is a full-time professor from the Department of Industrial Engineering at Tecnológico Nacional de Mexico/Instituto Tecnológico de Tijuana in Mexico. He received a master's degree in Industrial Engineering and a Ph.D. in Engineering Sciences from the Autonomous University of Ciudad Juarez in Mexico. In addition, he also holds a PhD in Innovation in Product Engineering and Industrial Process at the University of La Rioja (Spain). His main research areas are related to the optimization of industrial processes, lean manufacturing, and ergonomics. He is an active member of the Society of Ergonomists of Mexico Civil Association (Sociedad de Ergonomistas de México, SEMAC) and the Network of Optimization of Industrial Processes (Red de Optimización de Procesos Industriales, ROPRIN). Currently, he is a national researcher recognized by the National Council of Science & Technology of Mexico (CONACYT) as level I.
Suchismita Satapathy is an associate professor in the School of Mechanical Sciences, KIIT University, Bhubaneswar, India. Her areas of interest include production operation management, operation research, acoustics, sustainability, and supply chain management.
Jorge Luis García Alcaraz is a full-time researcher at the Industrial Engineering and Manufacturing Department at the Autonomous University of Ciudad Juarez in Mexico. He received an M.Sc. in Industrial Engineering from the Colima Technological Institute (Mexico), a Ph.D. in Industrial Engineering Sciences from Ciudad Juárez Technological Institute (Mexico), a Ph.D. in Innovation in Product Engineering and Industrial Process from University of La Rioja (Spain), a Ph.D. in Sciences and Industrial Technologies from the Public University of Navarre (Spain), and a Postdoc in Manufacturing Process from University of La Rioja (Spain). His main research areas are related to the multicriteria decision-making process and techniques applied to lean manufacturing, production process, and supply chain modeling. He is a founding member of the Mexican Society of Operation Research and an active member of the Mexican Academy of Industrial Engineering.Bibliographic Information
Book Title: Automation and Innovation with Computational Techniques for Futuristic Smart, Safe and Sustainable Manufacturing Processes
Editors: Arturo Realyvásquez Vargas, Suchismita Satapathy, Jorge Luis García Alcaraz
DOI: https://doi.org/10.1007/978-3-031-46708-0
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-46707-3Published: 23 November 2023
Softcover ISBN: 978-3-031-46710-3Due: 07 December 2024
eBook ISBN: 978-3-031-46708-0Published: 22 November 2023
Edition Number: 1
Number of Pages: XXVI, 359
Number of Illustrations: 15 b/w illustrations, 102 illustrations in colour