Buch, Englisch, 250 Seiten, Format (B × H): 191 mm x 235 mm
Implementing Technology, Analytics, and Data-Driven Solutions
Buch, Englisch, 250 Seiten, Format (B × H): 191 mm x 235 mm
ISBN: 978-0-443-33995-0
Verlag: Elsevier Science
Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions delves into the intricate world of supply chain management, emphasizing the role of digital transformation in modern supply chains. Through a blend of theoretical learning and practical applications, readers will gain a deep understanding of foundational supply chain principles while exploring emerging trends and technologies reshaping the industry. Topics such as system dynamics modelling, machine learning, artificial intelligence, and end-to-end visibility are explored in-depth, equipping readers with the tools and knowledge needed to excel in the rapidly evolving landscape of supply chain management.
Readers will learn how comprehend core principles and elements of supply chain management and its pivotal role in businesses and industries, recognize the significance of digital transformation in supply chains, understand the tools, technologies, and strategies essential for a successful transformation, evaluate the importance of end-to-end supply chain visibility, employ methods and technologies to enhance this visibility in practical scenarios, and apply system dynamics modeling techniques to address complex supply chain problems to optimize supply chain processes, and much more.
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie
- Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
Weitere Infos & Material
1. Foundations in Supply Chain Management
2. Framework for Digital Supply Chain Transformation
3. End-to-End Supply Chain Visibility
4. System Dynamics Modelling for Supply Chain
5. Supply Chain Analytics and Tools
6. Machine Learning in Supply Chains
7. AI Applications in Supply Chains
8. Emerging Trends in Supply Chain Management




