Internet of Things and Data Science in Engineering Management - Selected Papers from the 16th International Conference on Industrial Engineering and Industrial Management

This book is a compilation of expansions of the best papers presented at the 16^th International Conference on Industrial Engineering and Industrial Management, which took place on-line on 7^th and 8^th July 2022. The conference was organized by the Universidad de Castilla-La Mancha, Spain.
IoT and Data Science in Engineering Management highlights the latest research advances and analyses of real-world case studies in 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 the decision sciences. The contributing authors report their findings on subjects as diverse as sustainability and eco-efficiency, information systems and knowledge management, education in organizational engineering and the circular economy.

Sommario

1. Sustainability, Eco-efficiency and Quality Management.- 2. Strategy, Innovation, Networks and Entrepreneurship.- 3. Operations Research, Modelling and Simulation.- 4. Supply Chain Management and Logistics.- 5. Production Planning and Control.- 6. Management Information Systems and Knowledge Management.- 7. Project and Process Management.- 8. Service Systems.- 9. Human Resources and Organizational Design.- 10. Product Design, Industrial Marketing and Consumer Behaviour.- 11. Education in Organizational Engineering.- 12. IT-enabled Education in Organizational Engineering.- 13. Circular Economy.

Dettagli sul prodotto

• Con la collaborazione di: Pedro José Bernalte Sánchez (Editore), Fausto Pedro García Márquez (Editore), José Bernalte Sánchez et al (Editore), Alba Muñoz del Río (Editore), Ana María Peco Chacón (Editore), Isaac Segovia Ramirez (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 11.10.2025
• EAN: 9783031922503
• ISBN: 978-3-0-3192250-3
• Pagine: 380
• Illustrazioni: XX, 380 p. 100 illus.
• Serie: Lecture Notes in Management and Industrial Engineering
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Altro; Unternehmensforschung, machine learning, Maschinelles Lernen, Management: Entscheidungstheorie, Management spezifischer Bereiche, Business Intelligence, Operations Management, Operations Research and Decision Theory, Industrial Engineering, Industrial and Production Engineering, Operations Research, Management Science, Management science, Decision Sciences, Production Research, Management Engineering