Ecological and Human Dimensions of AI-Based Supply Chain

Ecological and Human Dimensions of AI-Based Supply Chain

Atour Taghipour (Normandy University, France & Solbridge, South Korea)
Release Date: February, 2025|Copyright: © 2025 |Pages: 588
DOI: 10.4018/979-8-3693-7478-8
ISBN13: 9798369374788|ISBN13 Softcover: 9798369374795|EISBN13: 9798369374801
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Circular Economy
  • Computer Engineering
  • Customer Engagement
  • Data Science
  • Digital Technology
  • Ecology
  • Logistics and Operations
  • Risk Management
  • Robotics and Drones
  • Supply Chains
  • Sustainability
  • UAV Technology
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Editor/Author Biographies
Atour Taghipour is a professor and the head of an international management master program at Normandy University in France and a visiting professor at Solbridge in South Korea. He holds a PhD in Industrial Engineering from the Polytechnic School of Montreal in Canada. He has more than ten years of experiences as a manager in automobile industries. He has published many books and research papers in international journals. His current research interests are supply chain and operations management based on quantitative and qualitative approaches.
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