Automation and Innovation with Computational Techniques for Futuristic Smart, Safe and Sustainable Manufacturing Processes

Erscheinungsjahr 2024
ISBN: 978-3-031-46710-3
Verlag: Springer International Publishing

Buch, Englisch, 359 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 587 g

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Realyvásquez Vargas, Arturo

García Alcaraz, Jorge Luis

Satapathy, Suchismita

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik

Inhaltsverzeichnis

Innovation, Safe and Smart Sustainable Manufacturing - A Bibliometric Review.- Review of the Challenges in Implementing Industry 4.0 Technologies in the Context of Sustainable Supply Chains.- Impact of Human Error Prevention and Automation on Social Sustainability.- The Barriers Related to Smart Manufacturing Systems and an Application for the Selection of Innovation Management Model: The Case of Samsun Province Study.- Predictor Model for Six Sigma Deployment and Its Sustainable Benefits.- Assessment and Evaluation of the Effects of Hazardous Noise Produced by the Manufacturing Industry on the Workers.- Assessment of Industrial Workers' Discomfort Level by Simulation Annealing.- Using the WASPAS and SA Techniques to Analyze Risks in a Noisy Environment Qualitatively - A Case Study of Different Manufacturing Industries Near Bhubaneswar.- Need of Ergonomics for Autonomous Vehicles.- Design and Simulation of a Mechanical Device to Reduce the Ergonomic Postural Risk Levels of Workers During the Installation of Panelled Walls.- Identification and Classification of Design Attributes for a Product to Verify Ergonomic Factors in Office Chairs.- Food Safety and Tractability with IoT.- System Dynamic: An Intelligent Decision-Support System for Manufacturing Safety Intervention Program Management.- University-Industry Technology Transfer in Developing Countries for Smart Cities.

Über Autor(innen)

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.