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Table of contents (38 chapters)
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Education in Organizational Engineering
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Management Information Systems and Knowledge Management
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Operations Research, Modelling and Simulation
Keywords
About this book
The book highlights some of the latest research advances and cutting-edge analyses of real-world case studies on industrial engineering and industrial management from a wide range of international contexts. It also identifies business applications and the latest findings and innovations in operations management and decision sciences.
Industry 4.0: The Power of Data will help academic researchers and practitioners in industrial engineering and industrial management to keep abreast of state-of-the-art developments in these subjects.
Editors and Affiliations
About the editors
José I. Santos Martín is an Associate Professor in Industrial Organization, with a background in Computer Modelling, Information Systems, and Economics. His main area of expertise is the modeling of Complex Systems. Most of his research focuses on the application of methods and techniques for the study of complex systems, mainly agent-based modeling, complex network theory, and also, machine learning techniques that facilitate the analysis of simulation models that generate large data sets. He has collaborated in more than 20 papers in journals such as PloS One, Scientific Reports, Royal Society Open Science, and Journal of Artificial Societies and Social Simulation.
Juan J. Lavios is an Associate Professor in Industrial Organisation at the Higher Polytechnic School of Universidad de Burgos. His main research interests include distributed systems, coordination mechanisms, scheduling and multi-agent systems. He has taken part in several research projects regarding social and organizational modelling and production management: Multi-agent systems for the control of distributed job shop manufacturing systems (financed by the Spanish Ministry of Economic Affairs and Competitiveness ) and simulation of human behaviour (SIMULPAST). In the last few years, he has been researching in sustainable production practices, with a focus on the automotive sector. As for educational innovation, he uses a wide range of methodologies to promote creativity and foster entrepreneurship.
Virginia Ahedo is a research fellow and assistant lecturer in Complex Systems and Data Analysis at Universidad de Burgos. Her main research interests include Complex Systems modelling, Network Science, Machine Learning, Operations Research and Management Engineering. She has participated as a modeller and data analyst in several national and international research projects that led to publications in renowned multidisciplinary journals. In particular, she has notable experience in the application of Complex Systems analysis techniques to the Social Sciences. Lastly, she is also an enthusiast of educational innovation, having worked in the development of different educational tools that are already being successfully used in higher education.Bibliographic Information
Book Title: Industry 4.0: The Power of Data
Book Subtitle: Selected Papers from the 15th International Conference on Industrial Engineering and Industrial Management
Editors: Luis R. Izquierdo, José Ignacio Santos, Juan José Lavios, Virginia Ahedo
Series Title: Lecture Notes in Management and Industrial Engineering
DOI: https://doi.org/10.1007/978-3-031-29382-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-29381-8Published: 08 July 2023
Softcover ISBN: 978-3-031-29384-9Due: 08 August 2023
eBook ISBN: 978-3-031-29382-5Published: 07 July 2023
Series ISSN: 2198-0772
Series E-ISSN: 2198-0780
Edition Number: 1
Number of Pages: XI, 395
Number of Illustrations: 18 b/w illustrations, 64 illustrations in colour
Topics: Industrial and Production Engineering, Engineering Economics, Organization, Logistics, Marketing, Project Management, Logistics, Supply Chain Management, Industrial Organization