About the Book
In the shift from Industry 4.0 to Industry 5.0, where human-machine collaboration, personalization, and sustainability are prioritized, Lean Six Sigma (LSS) plays a critical role in shaping efficient and adaptive production systems. By integrating emerging technologies like blockchain, internet of things (IoT), artificial intelligence (AI), and autonomous robots, LSS evolves to meet the complex demands of modern industries. This transformation not only enhances operational excellence but also supports smarter decision-making, greater transparency, and reduced waste. As a result, sectors are seeking improvements in customization, worker empowerment, and overall system resilience. The impact is a more sustainable and human-centric industrial future. Transformative Lean Six Sigma Techniques for the Quality 5.0 Paradigm explores the integration of LSS with the emerging framework of Industry 5.0. It additionally emphasizes the importance of adopting sustainable and human-centric approaches within the LSS framework. Covering topics such as autonomous robots, ethical leadership, and sustainability, this book is an excellent resource for industry professionals, process improvement specialists, quality managers, operations leaders, researchers, academicians, and more.
About the Author :
José Carlos de Sá is Professor at the Porto School of Engineering (ISEP), Polytechnic of Porto, Portugal, and Visiting Professor at the Polytechnic Institute of Viana do Castelo, Viana do Castelo, Portugal. He holds a PhD in Industrial and Systems Engineering from the University of Minho (Portugal). José Carlos de Sá has more than two decades of experience in the industrial sector, having started his career in 1998. Initially as a junior consultant, he then took on the role of Production and Quality Director in a multinational company. From 2004-2020 he worked extensively with industrial companies as a Senior Specialist Consultant on projects to improve safety, reduce waste and increase productivity. In 2006, he began teaching in higher education and since 2020 has been a full-time lecturer at the Porto School of Engineering (ISEP), Polytechnic of Porto. He has also been in the a visiting professor at Lusófona University in Porto and at ISAG - European Business School. In 2015, he was awarded the title of Specialist in Quality Management by the Polytechnic Institute of Viana do Castelo (Portugal), after successfully passing the public exams, in recognition of his professional career as an industrial manager and consultant in quality management and continuous improvement, as well as his contributions to the field through research. José Carlos de Sá has published more than 120 articles (WoS + Scopus), edited several books, participated in European projects and has been invited as a keynote speaker at international congresses in different countries. Shubham Sharma is a Quality Assurance Analyst and Teaching Associate at the Faculty of Management Sciences, Shoolini University, where he combines his academic and industrial expertise to deliver impactful education and consulting. He holds both a B.Tech and an M.Tech in Mechanical Engineering, with significant industry experience prior to joining academia. As a Six Sigma Black Belt, he specializes in Lean and Six Sigma methodologies, applying them in both his teaching and consulting roles. In addition to his work at Shoolini University, Shubham is an Instructor and Consultant with Intelligence Quality in partnership with TÜV SÜD, helping organizations achieve operational excellence. Currently pursuing a Ph.D. in Mechanical Engineering, his research centers on the application of Lean, Six Sigma, and Lean Six Sigma across various sectors, particularly focusing on bridging gaps between higher education and industry to ensure that academic training meets industry needs. At Shoolini University, Shubham teaches a variety of subjects, including Lean Six Sigma, Project Management, Artificial Intelligence, Statistics, and Supply Chain Analytics. He also serves as an Advanced Excel Instructor, equipping students with essential data handling and analysis skills. His technical expertise spans bibliometric analysis, systematic literature reviews (SLR), and meta-analysis. Shubham has co-authored multiple research papers in Lean manufacturing, and his current research explores the intersection of operational excellence and educational practices, aiming to foster stronger connections between academia and industry. Sunil Kumar , currently an Associate Professor at Faculty of Management Sciences, Shoolini University, possesses extensive academic and research experience. With a background in Business Administration, Sunil's research endeavors span multiple domains, including human resource management, e-training, and the application of artificial intelligence in business. His prolific contributions are evidenced by numerous research papers, book chapters, copyrights, and patents. Dr. Kumar has a knack for teaching with expertise in subjects like HR Analytics, Talent Management, Industrial Psychology, and more. He has also successfully guided PhD students and actively contributes to various academic administrative roles. Dr. Kumar's vast research landscape includes topics like AI-based chatbots in recruitment, e-training impact, and more. His papers have been published in esteemed journals like Journal of Workplace Learning and International Journal of Law and Management. Moreover, he has authored books and edited volumes touching upon themes related to the contemporary business environment. Dr. Sunil has been a dynamic participant in numerous workshops, ranging from data analysis to stress. Dr. Manjunath B.R. is an accomplished academic and industry professional with over 18 years of blended experience, including 5 years in investment banking and business analytics roles at leading firms such as JP Morgan Chase and Fidelity, and 13 years in academia. His domain expertise lies in applied finance, fintech, blockchain, data science, and financial analytics. He has served as a Technical Consultant for a World Bank project implemented by Ernst & Young under the Government of Bangladesh and has mentored finance students at Australian universities. Currently, he is a Global Visiting Professor at Tecnológico de Monterrey, Mexico, a QS-ranked institution, and has previously held senior academic roles in India, including Director of Academic Affairs and Professor of Finance and Business Analytics at Shoolini University. His research interests include cryptofinance, ESG investing, machine learning applications in finance, and explainable AI. In addition, Dr. Manjunath is a recognized trainer, having conducted professional development programs and workshops on Microsoft Excel, R, Python, and Tableau for academic institutions and industry audiences across India and abroad.
