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 will be explored in-depth, equipping readers with the tools and knowledge needed to excel in the rapidly evolving landscape of supply chain management. There is a growing recognition that supply chain management can be significantly improved by leveraging modern technologies, such as machine learning and generative AI, to enhance efficiency and accuracy. Digital Supply Chain Transformation: Implementing Technology, Analytics, and Data-Driven Solutions helps readers: - 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, understanding the tools, technologies, and strategies essential for a successful transformation.
- Evaluate the importance of end-to-end supply chain visibility and employ methods and technologies to enhance this visibility in practical scenarios.
- Apply system dynamics modelling techniques to address complex supply chain problems and optimize supply chain processes.
- Utilize supply chain analytics and tools to make data-driven decisions, enhancing efficiency and reducing operational costs.
- Understand the potential of machine learning and artificial intelligence in supply chains, applying these technologies to innovate and solve real-world supply chain challenges.
- Identify and analyze emerging trends in supply chain management, anticipating future challenges and opportunities in the field.
- Demonstrate the ability to apply theoretical knowledge to practical scenarios, devising solutions for real-world supply chain challenges.
- Critically evaluate supply chain strategies, technologies, and solutions, recommending improvements and innovations based on informed analysis.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Einkauf, Logistik, Supply-Chain-Management
- 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
