Advances in Manufacturing III
Springer International Publishing (Verlag)
978-3-031-00166-6 (ISBN)
This book reports on innovative strategies for quality control, risk assessment and sustainable development in production processes, in the era of industry 4.0. Based on peer-reviewed contributions to the 7th International Scientific-Technical Conference MANUFACTURING 2022, held on May 16-19, 2022, in Poznan, Poland, the chapters cover important topics relating to the use of quality management strategies in different stages of the production processes. They report on methods for statistical process control, vision control and inspection of machines, on the application of machine learning methods in quality control and/or risk assessment, on issues relating to digital transformation, and on methods to improve occupational safety. Besides industrial applications, the book also discusses the use quality management tools for educational purposes. By bridging between concepts in quality engineering, ergonomics, digitalization and industry 4.0, this book offers an authoritative source ofinformation for researchers, engineers and managers.
Erscheinungsdatum | 09.08.2022 |
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Reihe/Serie | Lecture Notes in Mechanical Engineering |
Zusatzinfo | XVII, 252 p. 114 illus., 101 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 421 g |
Themenwelt | Technik |
Schlagworte | Amoeba Management System • Data Processing in Manufacturing • Digital Technologies in Asset Management • Digital Transformation in Education • Digitization of Quality Control Processes • Employee's Motivational Techniques • Enviromental Impact Assessment • Improving Production Efficiency • Kaizen in Operations Management • Machine Learning Methods in Quality Control • Manufacturing 2022 • Materials Selection in Product Development • Product Life Cycle Assessment • Quality Management Tools in Engineering Education • Risk Analysis in Manufacturing • Statistical Process Control • Sustainable Product Development • Visual Inspection for Quality Control |
ISBN-10 | 3-031-00166-4 / 3031001664 |
ISBN-13 | 978-3-031-00166-6 / 9783031001666 |
Zustand | Neuware |
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