Buch, Englisch, 188 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 312 g
Reihe: Environmental Footprints and Eco-design of Products and Processes
Volume 1-Theory, Challenges, and Opportunity
Buch, Englisch, 188 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 312 g
Reihe: Environmental Footprints and Eco-design of Products and Processes
ISBN: 978-981-99-4821-5
Verlag: Springer Nature Singapore
This book brings forth the fundamental understanding of the role of Industry 4.0 technologies in sustainable manufacturing supply chain. Readers will get an overview of the challenges, opportunities, and requirements for the implementation of digital technologies and how they can support manufacturing supply chains to be sustainable. The book presents many applications of Industry 4.0 including integration of IoT, AI, Big Data, Blockchain, Procurement 4.0, Logistics 4.0, and Lean 4.0 in different contexts. The book therefore provides a platform for researchers, academicians, and professionals from diverse backgrounds to gain state-of-the-art knowledge for using Industry 4.0 in sustainable manufacturing supply chains. Readers will also be able to identify the practical significance and opportunities for future work directions.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
- Geowissenschaften Umweltwissenschaften Nachhaltigkeit
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
Weitere Infos & Material
Digital supply chain paradigm.- Supply Chain Decision Making using Artificial Intelligence and Data Analytics.- Using Blockchain for agro-food traceability: A case study from olive oil industry.- Logistics 4.0 for Sustainable Manufacturing Supply Chain.- Industry 4.0 in Resource Efficient and Cleaner Production: A case study from the food sector in Jordan.- Applications of Machine Learning in Supply Chain Management- A Review