Management of supply chains has been evolving rapidly over the last few years due to the inception of Industry 4.0, where businesses adopt automation technologies and data exchanges leading to dynamic and interconnected supply chain systems. Emphasizing on analytical approaches such as predictive and prescriptive modeling, this book presents state-of-the-art original research work dealing with advanced analytical models for the design, planning, and operation of the supply chain to provide faster and smarter decisions in the era of digitization. In particular, the book integrates machine learning and operations research models for faster and smarter decisions, presents prescriptive analytics models for strategic, tactical, and operational decision making in the supply chain, and addresses recent challenges such as sustainability in the supply chain, supply chain visibility, and supply chain digitalization. Key concepts are illustrated using real-life case studies, making thebook a valuable reference for researchers, technical professionals, and students.
| ISBN: | 9783030692674 |
| Publication date: | 26th June 2022 |
| Author: | Sharan Srinivas |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 278 pages |
| Series: | International Series in Operations Research & Management Science |
| Genres: |
Purchasing and supply management Operational research Databases Production and industrial engineering Production and quality control management Hospitality and service industries |