Ecological and Human Dimensions of Ai-based Supply Chain

The integration of artificial intelligence (AI) into supply chain management has not only transformed the way businesses operate but also highlighted the interplay between ecological and human dimensions. On the ecological side, AI technologies optimize resource use, reduce waste, and minimize environmental impact through more efficient logistics and demand forecasting. The human dimension focuses on how AI affects labor, decision-making, and ethical considerations. As AI evolves, further exploration into a balance between sustainability and human well-being may ensure that its benefits are maximized while minimizing any negative consequences on the environment and society. Ecological and Human Dimensions of AI-Based Supply Chain explores innovations in the adoption and integration of responsible AI solutions in supply chains. It examines the ecological and social perspectives that drive supply chain technology and manufacturing improvements. This book covers topics such as circular economy, risk management, and sustainability, and is a useful resource for business owners, ecologists, computer engineers, academicians, data scientists, and researchers.

Atour Taghipour is a professor and the head of two international management master programs at Normandy University (Le Havre) in France. He holds a PhD in Industrial Engineering from the Polytechnic School of Montreal in Canada. He received two masters' degrees, one in Management, Logistics & Strategy and other in Industrial Engineering. He has more than ten years of experiences as a manager in automobile industries. He has published four books and many research papers in international journals. His areas of research are supply chain and operations management.