Recent Advances in Industrial Engineering

The book presents the select proceedings of the 4th Biennial International Conference on Future Learning Aspects for Mechanical Engineering (FLAME 2024). It covers the latest advances in the field of industrial engineering. Various topics covered in this volume are technological advancements in industrial engineering, the application of technologies inspired by Industry 4.0 and Industry 5.0, the application of artificial intelligence (AI) in industrial engineering and management, the application of optimization techniques in industrial engineering, quality and performance improvement, industrial application of sustainable practices, intelligent decision making, digitalized supply chain management, environmental aspects in industrial engineering, carbon neutral supply chain practices, and many more. The book will be helpful for researchers and professionals working in the different domains of industrial systems engineering management, and production engineering.

Covers innovations in AI, IoT, and sustainability applied across diverse industrial sectors Presents real-world studies using methods like Lean and smart manufacturing systems Focuses on global trends like circular economy, net zero, digital twins, and smart transport

Autorentext

Dr. Rakesh Kumar Phanden earned his PhD from the National Institute of Technology, Kurukshetra, India. He is a seasoned researcher, academic leader, and accomplished administrator with expertise in project management, audits, risks, compliance and quality management in the education sector. Dr Phanden is associated with Amity University Noida India, Federation University Australia, CQUniversity Melbourne, and the Institute of Health & Management Melbourne. He has an extensive publication record that includes edited books, special issues, and over 110 research papers. His significant editorial contributions include roles as EiC, guest editor, associate editor, reviewer, and editorial board member for prestigious international journals. His commitment to mentoring stands out as a defining aspect of his career, having successfully guided numerous PhD, UG, and PG students, thereby shaping the future generation of scholars and industry professionals. Dr. Phanden's teaching and research interests encompass Lean Six Sigma, Risk Management, Circular Economy, Sustainability, Business Analytics and the Application of various Industry 4.0 Tools and technologies.He has chaired many technical sessions in conferences and reviewed articles for many SCIS and Scopus-indexed international journals of repute.

Dr Ravinder Kumar is a Professor of Mechanical Engineering at Amity University, Noida, India. He holds a bachelor's degree in Mechanical Engineering with Honors. He did his master's and Ph.D. from Delhi College of Engineering, University of Delhi, India. He has more than 23 years of teaching experience in U.G., P.G. and Ph.D. He has been included in the Top 2% Most Influential Scientist of the World -2024 By Stanford University & Elsevier. He has published more than 80 research papers in reputed international journals and conferences. His areas of interest include sustainable supply chain management, industrial digitalization, industry 4.0, sustainable manufacturing, sustainability assessments and SCM issues in SMEs. He has published papers in journals such as Journal of Cleaner Production, Journal of Intelligent manufacturing, TQM Journal, Competitiveness Review, Global Journal of Flexible Systems and Management, IIMB Management Review, Benchmarking, International Journal of Pharmaceutical and Healthcare Marketing, International Journal of Business Information Systems, International Journal of Manufacturing Research, etc. He has chaired technical sessions in conferences and reviewed articles for many SCIs and Scopus indexed international journals of repute. He has served as editor and co-editor of many conference proceedings. His H Index is 25.

Professor Jose Arturo Garza-Reyes is a distinguished academic specializing in operations management and supply chain improvement. He currently serves as the head of the Centre for Supply Chain Improvement at the University of Derby, UK. With a background in mechanical administration engineering and extensive industrial experience, including roles as a Production Manager and Operations Manager, Professor Garza-Reyes brings a wealth of practical knowledge to his academic endeavors. His research interests encompass operations and production management, supply chain and logistics management, Lean and agile operations, sustainability, industry 4.0 technologies, and more. Professor Garza-Reyes has made significant contributions to academia, with numerous publications in esteemed journals and authoring several books. He is also actively involved in editorial roles for various journals and has guest-edited numerous special issues. Professor Garza-Reyes's dedication to academic excellence and his extensive contributions to the field make him a respected figure in Operations Management and Supply Chain Improvement. His H Index is 82.

Inhalt

Chapter1. Evaluation of Machine Learning Algorithm skill for Convective Weather Forecasting in Uttarakhand.- Chapter 2. An examination of artificial intelligence algorithms for multi-step short-term wind speed forecasting in four Indian cities.- Chapter 3. Circular economy practices in Manufacturing organization: Analysis of Enablers.- Chapter 4. Application of Value Stream Mapping in a Variable Frequency Drive manufacturing industries.- Chapter 5. Design and Analysis of Automated Guided Vehicle for Production Line.- Chapter 6.Operational excellence through quality 4.0: A case study of the aerospace industry.- Chapter7. Application of Machine Learning in Real-world Domains of Industry 4.0 and Smart Factory.- Chapter 8. The Intersection of Industry 4.0 With Formula 1 And Other Motorsports: Future of Racing.- Chapter 9. Environmentally responsible supply chains in an era of digital transformation: the case of sup sachets in southeast Asia.- Chapter 10. Clustering-based optimized site selection.- Etc.