Drawing on contributions from various manufacturing fields, this book offers a comprehensive perspective by combining theoretical concepts with practical applications. It emphasizes future developments, the integration of technologies, and the crucial role of humans in manufacturing companies.
Production Management, Manufacturing, and Process Control presents cutting-edge strategies and innovations for creating people-centered manufacturing processes. It explores how culture influences cognition and behavior, providing readers with valuable insights into relevant theories. This book also explores risk management, human performance improvement, and the current challenges in quality and information systems management. Sustainable global manufacturing practices that balance global market access with strong domestic engineering ecosystems are covered in detail, and this book also addresses the optimization of production processes, including the use of machine learning for fault diagnosis.
This is an ideal read and a valuable resource for students, graduates, teachers, researchers, and professionals in industrial management, business management, safety fields, manufacturing, risk management, and quality management.
Table of Contents:
1. Creativity of Employee 4.0: Individual and Collective Roles of Personal and Contextual Factors. 2. Navigating Skills Shortages: Bridging Human Factors and Fashion Practice Research for Collaborative Innovation in UK Fashion Manufacturing. 3. Cultural Obstacles to Servitization in Japanese Manufacturing Industries. 4. Obsolescence Risk Management for Long‑Life Defense Projects. 5. Quality Management Systems: Implementation Based on Opportunity Life Cycle. 6. Speed Up Medical Device Innovation: Combining Agile, User Experience, and Human Factors Methodologies. 7. User Context of Enterprise Information Systems for Manufacturing. 8. Advanced Engineering Management Based on Intersectional R&D Challenges on Education: A Case Study for Product Classifications on Shoring Trends. 9. An Optimization Study for the Milling Process of Inconel 601 Superalloy. 10. Empirical Study of Machine Learning for Intelligent Bearing Fault Diagnosis.
About the Author :
Beata Mrugalska, Ph.D., D.Sc., Eur.Erg., is an associate professor and head of the Division of Applied Ergonomics, Institute of Safety and Quality Engineering, Faculty of Management Engineering, Poznan University of Technology in Poland. She holds an M.Sc. (2001) in Management and Marketing from the Faculty of Mechanical Engineering and Management at the Poznan University of Technology and a Ph.D. (2009) in Machine Construction and Operation from the Faculty of Computer Science and Management at the Poznan University of Technology. She was awarded a D.Sc. (dr habil.) degree in Mechanical Engineering by the Faculty of Mechanical Engineering at the Poznan University of Technology, Poland (2019). Since 2018, she has been a board member of the Center for Registration of European Ergonomists (CREE). She is responsible for promoting the professional title of EuroErgonomist in the international scientific and industrial environment. She is also a board mem-ber of the Polish Academy of Arts and Sciences, Commission of Ergonomics, and a member of the Ergonomics Committee at the Polish Academy of Sciences, Branch Poznan. She has over 120 publications focused on human factors in modern organizational management concepts. She serves as a member of eight editorial boards of international journals and a guest editor of four special issues of journals. She was honored with the Top Peer Reviewer by Publons for her contribution to the prepara-tion of paper reviews.
Waldemar Karwowski, Ph.D., D.Sc., P.E., is a Pegasus Professor and chairman of the Department of Industrial Engineering and Management Systems and executive director of the Institute for Advanced Systems Engineering, University of Central Florida, Orlando, Florida, USA. He holds an M.S. (1978) in Production Engineering and Management from the Technical University of Wroclaw, Poland, and a Ph.D. (1982) in Industrial Engineering from Texas Tech University. He was awarded D.Sc. (dr habil.) degree in Management Science by the State Institute for Organization and Management in Industry, Poland (2004). He is past president of the International Ergonomics Association (2000–2003) and the Human Factors and Ergonomics Society (2007). He served on the Committee on Human Factors/Human Systems Integration, National Research Council, and the National Academies, USA (2007–2011). He has over 500 publications focused on human performance, safety, cognitive systems engineering, human-centered design, neuro-fuzzy systems, nonlinear dynamics, neurotechnology, and neuroergonomics. He serves as the co- editor-in-chief of Theoretical Issues in Ergonomics Science journal (Taylor & Francis, Ltd), editor-in-chief of Human-Intelligent Systems Integration, and field chief editor of Frontiers in Neuroergonomics.
Tareq Ahram, Ph.D., is an assistant research professor and a lead scientist at the Institute for Advanced Systems Engineering at the University of Central Florida, Orlando, Florida, USA. He received a Ph.D. degree in Industrial and Systems Engineering from the University of Central Florida in 2008, with specialization in human systems integration and large-scale information retrieval systems optimization; M.Sc. in Industrial Systems Engineering – Human Factors from UCF in 2007; M.Sc. and B.Sc. in Industrial and Systems Engineering from the University of Jordan in 2002 and 2004, respectively. He has served as an invited speaker and a scientific member for several systems engineering, emerging technologies, neurodesign, and human factors research, and an invited speaker and a program committee member for the U.S. Department of Defence Human Systems Integration and the Human Factors Engineering Technical Advisory Group. Tareq Ahram served as an invited research professor and expert internationally and an active research member in various US- and EU-funded research projects. He serves as the applications subject editor member of Frontiers in Neuroergonomics and the executive editor of the Journal of Human-Intelligent Systems Integration. He is the recipient of the US Outstanding Researcher and the IBM Smart Systems Research Award. He is currently the lead scientist and an assistant research professor working at the Insti
