Analytics for Sustainable Refrigeration and Cold Supply Chains - Couverture rigide

Name: Analytics for Sustainable Refrigeration and Cold Supply Chains
ISBN: 9781394403394

9781394403394: Analytics for Sustainable Refrigeration and Cold Supply Chains

Couverture rigide

ISBN 10 : 1394403399 ISBN 13 : 9781394403394

Editeur : Wiley-Scrivener, 2026

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Discover how integrating AI, real-time IoT sensors, and predictive analytics transforms cold chain operations to safeguard your temperature-sensitive cargo, minimize costly spoilage, and achieve seamless regulatory compliance across your entire supply chain.

With the increasing global demand for temperature-sensitive products such as pharmaceuticals, perishable foods, and biologics, maintaining precise environmental conditions is critical. By leveraging IoT sensors, artificial intelligence, and big data analytics, businesses can gain real-time insights into temperature fluctuations, transportation delays, and storage conditions, ultimately improving decision-making and reducing losses. This book is a comprehensive guide that explores the integration of data-driven technologies in the management and optimization of cold chain logistics. It delves into the role of smart analytics in enhancing efficiency, reducing waste, and ensuring regulatory compliance across the cold supply chain. Providing an in-depth analysis of key technologies driving smart cold chain analytics, including predictive analytics, machine learning algorithms, and blockchain for traceability, the book discusses how AI-powered forecasting models can optimize inventory management, detect anomalies, and mitigate risks in transit. By presenting case studies and real-world applications, the book offers practical insights into how companies can implement these advanced technologies to streamline operations and enhance product quality. Designed for supply chain professionals, researchers, and policymakers, this book serves as a valuable resource for anyone looking to modernize and enhance the efficiency of cold chain logistics through smart analytics.

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� propos de l'auteur

Ramesh Babu Damarla, PhD is an Associate Dean in the School of Business at SR University, Warangal. He has published 30 articles in international journals and 58 patents, 18 of which have been granted. His research focuses on controlled atmosphere storage, logistics, cold chain facility design, cold chain management, and project management.

Usha Desai, PhD is a Professor and Dean of Research and Development for the SEA College of Engineering and Technology, Bengaluru, India. She has presented papers in many reputed conferences and authored more than 50 research publications, as well as several books. Her areas of interest include biomedicine, AI and machine learning in healthcare, and data science for pharmaceuticals.

Chandra Singh is an Assistant Professor in the Department of Electronics and Communication at Nitte Mahalinga Adyantaya Memorial Institute of Technology, Nitte, India, with more than six years of experience. He has published nine books, 15 book chapters, and more than 20 research articles in reputed peer-reviewed national and international journals. His areas of interest include optical networking and communication, wireless communication, intelligent systems, Internet of Things, and robotics.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.