Häftad, Engelska, 2027
AI-Powered Supply Chains
Balancing Risk, Reliability, and Sustainability
Av Surya Prakash, Gunjan Soni, Peeyush Vats, Mangey Ram
Del i serien Advances in Reliability Science
1613 kr
Kommande
Beskrivning
AI-Powered Supply Chains: Balancing Risk, Reliability, and Sustainability provides a comprehensive overview of measurement techniques, their real-world applications, and insights into future developments in the field.
- Provides an in-depth exploration of measuring risk, reliability, resilience, and sustainability in supply chain management
- Examines various tools and techniques, demonstrating their application in real-world scenarios to aid businesses in informed decision-making and risk reduction
- Content is tailored for researchers, academics, and practitioners in supply chain management
- Highlights how emerging technologies, such as AI, machine learning, data analytics, IoT, and blockchain, can be implemented to enhance supply chain resilience and sustainability
Produktinformation
- Utgivningsdatum: 2027-05-01
- Mått: 152 x 229 x undefined mm
- Vikt: 450 g
- Format: Häftad
- Språk: Engelska
- Serie: Advances in Reliability Science
- Antal sidor: 420
- Förlag: Elsevier Science
- ISBN: 9780443448690
Utforska kategorier
Mer om författaren
Dr. Surya Prakash is Associate Professor, Operations Management at Great Lakes Institute of Management, Gurugram, India. He has rich experience of teaching and research at BML Munjal University, IIHMR University Jaipur. He received his Ph.D. in Supply Chain Management from Malaviya National Institute of Technology, Jaipur, India, and master’s in manufacturing systems from the Birla Institute of Technology and Science, Pilani, Rajasthan, India. Dr. Prakash has published research articles in leading OM and SCM journals. He has edited book on risk and reliability in operations management and led FDPs, MDPs and funded research projects. His research interests include supply chain management, network design, robust optimization, Industry 4.0, and decision making in operations management. Dr. Gunjan Soni holds B.E. (Mechanical Engineering) from The University of Rajasthan, M. Tech. (Industrial Engineering) from IIT-Delhi and PhD (Industrial Engineering) from Birla Institute of Technology, Pilani. He is having 19 years of experience and is now serving as an Associate professor (Department of Mechanical Engineering along with Joint faculty at Department of Artificial Intelligence and Data Engineering). At MNIT Jaipur he has developed several new courses such as Applied Machine Learning, Six Sigma, Artificial Intelligence in Manufacturing Systems,Applied Probability and Statistics at UG and PG level. He has also established Intelligent Automation and Robotics Lab in the Department of Mechanical Engineering. He has published more than 120 papers in various international journals. He has guided 12 PhDs and over 24 Masters’ theses. He is doing four research projects in which two are international and other two are at national level. His major research contributions are in the areas of supply chain optimization, predictive maintenance, and AI applications in manufacturing systems.Dr. Peeyush Vats has completed his PhD from the Malaviya National Institute of Technology (MNIT Jaipur). Currently he is working as full-time faculty in Poornima College of Engineering, Jaipur, Rajasthan India. His area of interest is risk analysis, reliability analysis, inventory management under risk and uncertainty in supply chain. He has more than 23 years of teaching and research experience. He has authored several research articles for national & international conferences and journals. Some of the relevant publications of Dr. Peeyush Vats are as “A demand aggregation approach for inventory control in two echelon supply chain under uncertainty Risk pooling approach in multi-product multi-period inventory control model under uncertainty, “Risk-Pooling Approach in Inventory Control Model for Multi-products in a Distribution Network Under Uncertainty, “Grey-based decision-making approach for the selection of distributor in a supply chain etc. He has worked as reviewer in many journals like International Journal of Intelligent Enterprises, Elsevier Conferences, Int. J. of Logistics Systems and Management, Operations Management Research, International Journal of Quality & Reliability Management, Chinese Management Studies etc. Prof. Mangey Ram is Professor at Graphic Era (Deemed to be University), Dehradun, India. He is Editor-in-Chief of the International Journal of Mathematical, Engineering, and Management Sciences; Journal of Reliability and Statistical Studies; Journal of Graphic Era University; Series Editor of six book series with Elsevier, CRC Press-A Taylor and Frances Group, Walter De Gruyter Publisher Germany, River Publisher and Guest Editor and Associate Editor for various journals. His fields of research are reliability theory and applied mathematics. He is Editor-in-Chief of the International Journal of Mathematical, Engineering, and Management Sciences; Journal of Reliability and Statistical Studies; Journal of Graphic Era University; Series Editor of six book series with Elsevier, CRC Press-A Taylor and Frances Group, Walter De Gruyter Publisher Germany, River Publisher and Guest Editor and Associate Editor for various journals.His fields of research are reliability theory and applied mathematics.Prof. Ram is a Senior Member of the IEEE, Senior Life Member of the Operational Research Society of India, the Society for Reliability Engineering, Quality and Operations Management in India, the Indian Society of Industrial and Applied Mathematics. He is a member of the organizing committee of several international and national conferences, seminars, and workshops. He was conferred the “Young Scientist Award by the Uttarakhand State Council for Science and Technology, Dehradun, in 2009, and given the “Best Faculty Award in 2011; “Research Excellence Award in 2015; and “Outstanding Researcher Award in 2018 for his significant contributions in academics and research at Graphic Era (deemed to be University), Dehradun, India. Most recently, he received the "Excellence in Research of the Year-2021 Award from the Honourable Chief Minister of the Uttarakhand State, India.
Betyg & recensioner
0 recensioner
Inga recensioner tillgängliga.