Manufacturing companies need to adapt to the requirements of functioning in the era of Industry 4.0 and major technological disruptions. The use of knowledge-based decision support tools has also become necessary in order for enterprises to survive in a competitive environment. This book offers a new approach to designing the knowledge management process and integrating it with the implementation of Industry 4.0 technology.
The book presents the methods used in a customer-oriented organisation for management of manufacturing knowledge. More specifically, methods for defining and collecting customer requirements are presented and methods on how to receive manufacturing knowledge, as well as how to formalise the acquired knowledge using key technologies of Industry 4.0, are discussed. The author also presents real case studies from Western and Central Europe and offers recommendations for the production manager. The instrumentation of methods and tools to support knowledge management, in the production of individualised products presented therein, will allow the manufacturing company to be transformed digitally into a customer-oriented organisation operating in accordance with the assumptions of Industry 4.0.
This book will be a valuable read for production researchers, academicians, PhD students and postgraduate-level students of industrial engineering and industrial management. The practical case studies will also make the book a useful resource for managers of manufacturing enterprises.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Postgraduate
Illustrationen
38 s/w Abbildungen, 2 s/w Photographien bzw. Rasterbilder, 36 s/w Zeichnungen, 12 s/w Tabellen
12 Tables, black and white; 36 Line drawings, black and white; 2 Halftones, black and white; 38 Illustrations, black and white
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 15 mm
Gewicht
ISBN-13
978-1-032-20470-3 (9781032204703)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Justyna Patalas-Maliszewska is a professor at the Institute of Mechanical Engineering of the University of Zielona Gora. In her scientific work, she focusses her research on computational intelligence in production, modelling and designing methods, and also on the tools and solutions in support of manufacturing companies. She has been awarded many international scholarships, including several under the Framework Programme UE, Ministry of Science and Higher Education, DAAD. She is the author of over 200 scientific publications, including scientific monographs and articles in hugely significant and impactful journals; she is also the author of many expert opinions and recommendations for enterprises at both the regional and national levels.
She has carried out various international research projects in information systems, including several under the Interreg Programme EU, as well as several for companies and the National Laboratory. She has given numerous lectures, both in Poland and abroad. These include lectures at the University of West Bohemia in Pilsen, Czech Republic; Brandenburg University of Technology (BTU) in Cottbus-Senftenberg in Brandenburg, Germany; the Technical University in Chemnitz, Germany; and the Technical University in Vienna, Austria. She is a member of the Committee of Production Engineering of the Polish Academy of Sciences, the Polish Society for Production Management and the Polish Society for Innovation Management.
List of Figures
List of Tables
Introduction
Chapter 1: Manufacturing Knowledge in the era of Industry 4.0
1.1 Customer-oriented organisation.
1.2 Manufacturing knowledge of I4.0.
1.3 Managerial competencies in the I4.0.
References
Chapter 2: Integration of the Knowledge Management Process and Industry 4.0 Technologies
2.1 Knowledge management process.
2.2 Knowledge management process in the I4.0 concept.
2.3 Manufacturing knowledge management process and applied I4.0 technologies.
References
Chapter 3: Methods and Techniques for Acquiring Manufacturing Knowledge
3.1 Sources of manufacturing knowledge.
3.2 Methods of acquiring manufacturing knowledge.
3.3 I4.0 tools supporting the acquisition of manufacturing knowledge.
References
Chapter 4: Collecting and Representing Manufacturing Knowledge
4.1 Knowledge bases.
4.2 Manufacturing knowledge representation methods.
4.3. I4.0 tools supporting the collection and representation of manufacturing knowledge.
References
Chapter 5: The innovative Architecture Reference Model for MKM (ARMMknowI4.0)
5.1 Assumptions for ARMMknowI4.0.
5.2 Scenario for implementation.
5.3 Recommendations to the production manager.
References
Chapter 6: ARMMknowI4.0 Architecture in the Production of Mass Customisation: Case studies in Europe
6.1 Level of implementation of I4.0 technologies in manufacturing enterprises in Europe.
6.2 Designing ARMMknowI4.0. for the production of mass customisation: a case study from Germany.
6.3 Outline of the structure of the knowledge base and knowledge map: a case-study from Poland.
References
Conclusions and Further Directions
Index
