(Parul Institute of Technology, Parul University, India.)
Dr. Panwala Fenil Chetankumar is an Assistant Professor in Robotics and Automation Engineering at Parul University, Gujarat, India. His research interests include robotics, automation, intelligent manufacturing, and Industry 4.0 technologies.
Shailandra Kumar Prasad, Panwala Fenil Chetankumar. In: AI-Driven Leadership and Cross-Sector Collaboration: Emerging Technologies for Innovation, Sustainability, and Digital Transformation — ISBN: 978-81-688160-6-0. Pages: 90 - 112
The manufacturing sector is experiencing a transformative change due to the advent of Artificial Intelligence (AI), Industry 5.0, and advanced supply chain collaboration. Industry 4.0 prioritised automation and digitalisation, whereas Industry 5.0 underscores human-centric manufacturing, sustainability, resilience, and collaboration between humans and intelligent technology. Artificial intelligence technologies, encompassing machine learning, deep learning, computer vision, robotics, digital twins, and predictive analytics, are revolutionising industrial processes, quality management, predictive maintenance, logistics, and supply chain coordination. AI-driven manufacturing solutions augment operational efficiency, diminish production costs, elevate product quality, and facilitate rapid decision-making inside linked industrial ecosystems. This chapter examines the principles, technologies, applications, difficulties, and future trajectories of AI in manufacturing, Industry 5.0, and collaborative supply chain management, emphasising its contribution to the development of intelligent, sustainable, and resilient industrial organisations.
