Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation
Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation
Buch
- 20th IFIP WG 5.1 International Conference, PLM 2023, Montreal, QC, Canada, July 9¿12, 2023, Revised Selected Papers, Part II
- Herausgeber: Christophe Danjou, Ramy Harik, Abdelaziz Bouras, Louis Rivest, Felix Nyffenegger
- Springer Nature Switzerland, 06/2024
- Einband: Gebunden, HC runder Rücken kaschiert
- Sprache: Englisch
- ISBN-13: 9783031625817
- Bestellnummer: 11906372
- Umfang: 388 Seiten
- Auflage: 2024
- Gewicht: 746 g
- Maße: 241 x 160 mm
- Stärke: 27 mm
- Erscheinungstermin: 28.6.2024
- Serie: IFIP Advances in Information and Communication Technology - Band 702
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation
Klappentext
This two-volume set IFIP AICT 701-702 constitutes the refereed post-conference proceedings of the 20th IFIP WG 5.1 International Conference on Product Lifecycle Management: Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation, PLM 2023, held in Montreal, QC, Canada, during July 9 12, 2023.The 61 regular papers included in this book were carefully reviewed and selected from 116 submissions.
They are organized in the following thematic sections:
Part I: Technology implementation: augmented reality, CPS and digital twin; organisation: knowledge management, change management, frameworks for project and service development; modelisation : CAD and collaboration, model-based system engineering and building information modeling.
Part II: Circular economy: characterization, criteria and implementation; interoperability technology: blockchain, IoT and ontologies for data exchange; learning and training: from AI to a human-centric approach; smart processes: prediction, optimization and digital thread.
