AI and Automation for Net-Zero Factories and Sustainable Manufacturing
Abstract
This chapter examines the transformative role of artificial intelligence and automation in accelerating the transition toward net-zero factories and sustainable manufacturing ecosystems. It explores how intelligent systems, including digital twins, machine learning, predictive analytics, and cyber-physical production networks, enable real-time optimization of energy use, waste reduction, and carbon-efficient operations. The chapter further analyzes the integration of smart robotics, sensor-driven monitoring, and green supply chain automation to support low-emission, resource-efficient production cycles. Key challenges, emerging technologies, and future research opportunities are presented to highlight the strategic pathways required for achieving climate-aligned, resilient, and sustainable industrial environments.
Fields of Study & Subjects
Digital Transformation in Industry
Impact of AI and Big Data on Business and Society
Internet of Things and AI
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Publisher
- IGI Global Scientific Publishing
- Pages
- 157–236
- Publication date
- 6 March 2026
- Document type
- Book chapter