Publisher's Synopsis
The surge in digital transformation and the integration of innovative technologies into manufacturing processes have given rise to a pressing issue in supply chain management. Businesses are in dire need of solutions to navigate this complexity and harness the true potential of intelligent supply chains. Utilization of AI Technology in Supply Chain Management is a comprehensive guide tailored for academic scholars seeking to unravel the mysteries of artificial intelligence (AI) and machine learning (ML) in the context of supply chain management. Amid the hype surrounding AI and ML, there exists a critical need to bridge the gap between human expertise and technological advancements. Utilization of AI Technology in Supply Chain Management addresses this necessity by delving into real-world instances where teams have successfully employed these innovative technologies to enhance supply chain performance, reduce inventory, and optimize routes. The adoption of AI and ML is not just a trend; it is the cornerstone of digital acceleration initiatives, making it imperative for scholars to understand and leverage these technologies effectively. The topics within the book span the breadth of AI and ML applications in supply chain management, offering insights into automation's impact, supply chain network optimization, intelligent systems for industrial robots, and much more. Whether you are navigating the intricacies of computational biology or exploring the fuzzy Bayesian approach to Industry 6.0 supplier selection, this book provides a roadmap to unlock the full potential of AI and ML in solving the intricate problems faced by businesses in the supply chain domain. Join us in this intellectual journey as we present a compelling solution to the challenges of Industry 4.0, bridging the gap between theory and practical applications in the evolving landscape of supply chain management.
