Reimagining Supply Chains
Abstract
Network redesign and nearshoring have become key tactics in the larger shift to next-generation supply chains, especially in light of automation, artificial intelligence (AI) and sustainability requirements. This chapter investigates how network redesign and nearshoring are proactive facilitators of flexible, intelligent and sustainable operations as well as solutions to supply chain vulnerabilities. It analyzes how companies are using digital twins, Al-driven simulations and machine learning to optimize their supply chains while adhering to environmental and social governance (ESG) principles through case studies and data-driven insights. In order to attain resilience, agility and sustainability, businesses are adopting network redesign aided by digital twin technologies. There are notable performance gains in all important metrics when comparing baseline operations with AI-optimized network redesign. The future of supply chains depends on their ability to be highly adaptive, locally rooted and technologically savvy.
Fields of Study & Subjects
Supply Chain Resilience and Risk Management
Impact of AI and Big Data on Business and Society
Sustainable Supply Chain Management
Publication details
- Journal / source
- Wiley eBooks
- Pages
- 175–195
- Publication date
- 6 March 2026
- Language
- EN
- Document type
- Book chapter