Computational Intelligence Techniques for Sustainable Supply Chain Management

Computational Intelligence Techniques for Sustainable Supply Chain Management
Author :
Publisher : Elsevier
Total Pages : 470
Release :
ISBN-10 : 9780443184659
ISBN-13 : 0443184658
Rating : 4/5 (658 Downloads)

Book Synopsis Computational Intelligence Techniques for Sustainable Supply Chain Management by : Sanjoy Kumar Paul

Download or read book Computational Intelligence Techniques for Sustainable Supply Chain Management written by Sanjoy Kumar Paul and published by Elsevier. This book was released on 2024-06-03 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable supply chain management involves integrating environmentally and financially viable practices into the complete supply chain lifecycle, from product design and development to material selection and sourcing, manufacturing, packaging, transportation, and distribution. A sustainable supply chain ensures balance between economic, social, and environmental performances – such as better assurance of human rights, ethical work practices, carbon footprint reduction, waste management, and resource efficiency. Computational Intelligence Techniques for Sustainable Supply Chain Management presents state-of-the-art computational intelligence techniques and applications for supply chain sustainability issues and logistic problems, filling the gap between general textbooks on sustainable supply chain management and more specialized literature dealing with methods for computational intelligence. This book focuses on addressing problems in advanced topics in the sustainable supply chain, and will appeal to practitioners, managers, researchers, academicians, students, and professionals interested in sustainable logistics, sustainable procurement, sustainable manufacturing, sustainable inventory and production management, sustainable scheduling, sustainable transportation, and sustainable network design. Serves as a reference on computational intelligence–enabled sustainable supply chains for graduate students in computer/data science, industrial engineering, industrial ecology, and business Explores key topics in sustainable supply chain informatics, that is, heuristics, metaheuristics, robotics, simulation, machine learning, big data analytics and artificial intelligence Provides a foundation for industry leaders and professionals to understand recent and cutting-edge methodologies and technologies in the domain of sustainable supply chain powered by computational intelligence techniques


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