Data-Driven Technologies and Artificial Intelligence in Supply Chain (Paperback)

Mahesh Chand

ISBN 10: 1032611294 / ISBN 13: 9781032611297

Editore: Taylor & Francis Ltd, London, 2025

Paperback. This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing."Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies"Emphasizes the impact of a data-driven supply chain on quality management"Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing"Highlights the barriers to implementing artificial intelligence in small and medium enterprisesPresents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risksThe book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering. This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9781032611297

Riassunto:

This book highlights the importance of data-driven technologies and artificial intelligence in supply chain management. It covers important concepts such as enabling technologies in Industry 4.0, the impact of artificial intelligence, and data-driven technologies in lean manufacturing.

• "Provides solutions to solve complex supply chain management issues using artificial intelligence and data-driven technologies"
• Emphasizes the impact of a data-driven supply chain on quality management
• "Discusses applications of artificial intelligence, and data-driven technologies in the service industry, and lean manufacturing"
• Highlights the barriers to implementing artificial intelligence in small and medium enterprises
• Presents a better understanding of different risks such as procurement risks, process risks, demand risks, transportation risks, and operational risks

The book comprehensively discusses the applications of artificial intelligence and data-driven technologies in supply chain management for diverse fields such as service industries, manufacturing industries, and healthcare. It further covers the impact of artificial intelligence and data-driven technologies in managing the FMGC supply chain. It will be a valuable resource for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, industrial engineering, manufacturing engineering, production engineering, and computer engineering.

Informazioni sull?autore:

Mahesh Chand is working as an Assistant Professor in the Mechanical Engineering Department at the J C Bose University of Science and Technology, YMCA Faridabad, India. He has passed his BE in Mechanical Engineering in 2007, ME in Production Engineering from Delhi Technological University (Formerly DCE), Delhi in 2009, Ph. D from YMCA University of Science and Technology, Faridabad, India. He has 13 years of teaching and research experience. He has completed one year journey of “Visionary Learning Community of India (VLCI)” for manufacturing excellence in Indian SMEs in 2017-18 (Indo-German Project). He is Member of Indian Society of Technical Education (LMISTE), Indian Institute of Industrial Engineering (LMIIIE), Member, Indian Science Congress Association (ISCA), IAENG International Association of Engineers, IAENG Society of Industrial Engineers, IAENG Society of Operations Research. He has 01 Indian and 01 Australian patent in his credit. He worked as Guest Editor in special issue "Operations and Supply Chain Management: Theoretical and Empirical Approaches" Administrative Sciences, 2018. He is guiding 03 Ph.D scholars is the field of supply chain management. He is working in the field of supply chain management, risk management, operation management, manufacturing technology and MCDM approaches. He has published about 35 research papers in reputed international journals and conferences. He is teaching Operations Research, Industrial Engineering, Supply Chain Management and Numerical Methods for UG, PG and research scholars.

Dr Vineet Jain is working as a Professor & HOD in the Department of Mechanical Engineering, Mewat Engineering College, Haryana Waqf Board, Government of Haryana, Nuh, Haryana-122107, India. He received the PhD degree in Mechanical Engineering at the Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad, India. He completed his B.E Mechanical with honours from N.I.T. Kurukshetra, India and M. Tech (Manufacturing and Automation) with honours from the YMCA Institute of engineering, Faridabad, India. Currently Teaching Internal Combustion Engine, Inspection Quality Control and Motor vehicle Technology and taught many subjects like Operation Research, Industrial Engineering, and Basics of Mechanical Engineering etc. His areas of interest are Manufacturing Technology, Operation Research, Industrial Engineering, Industry 4.0, Healthcare, Lean management, Modelling and decision making with expertise in ISM, GTMA, EFA, CFA, SPSS, AMOS, ANFIS, GA, TLBO and MADM, like AHP, TOPSIS, VIKOR, PROMETHEE, MOORA, PSI, CMBA, ELECTRE, WEDBA etc. He possesses more than 22 years’ experience in teaching and industry. He has written three books in mechanical engineering published with Dhanpat Rai Publication New Delhi, India. Published 36 paper in International Journal like Elsevier, Springer, Emerald, Inderscience, Taylor & Francis, Growing Science etc. and presented paper in International and National Conferences. Editorial Board Member of International Journal of Productivity and Performance Management (Emerald) and International Journal of Data and Network Science (Growing Science). Reviewer of 37 International Journals (indexed SCI/Scopus/Web of Science), Technical Program Committee Member of 36 International Conferences which were held in abroad.

Dr Puneeta Ajmera is working as an associate professor in the Department of Public Health, School of Allied Health Sciences, Delhi Pharmaceutical Sciences and Research University, New Delhi. She has done her PhD in healthcare management. She has total experience of 16 years that includes around 13 years of teaching and 3 years of industry experience. Currently Teaching research methodology, operations research and public health management and taught many subjects like Biostatistics, women and child health, introduction to health care system, public health nutrition, laws and ethics in public health etc. She has published more than 50 research papers in peer reviewed international journals and presented papers in national and international conferences. She has filed two patents and authored four books on healthcare system and health policy. Her areas of interest include Maternal and Child health, Globalization of healthcare, Industry 4.0 and Lean management in healthcare, Decision making in healthcare with expertise in MADM (AHP, TOPSIS, VIKOR) approaches and Structural Modelling techniques like ISM, TISM etc. She can be contacted at puneeta_22@yahoo.com.

Dati bibliografici

Titolo: Data-Driven Technologies and Artificial ...
Casa editrice: Taylor & Francis Ltd, London
Data di pubblicazione: 2025
Legatura: Paperback
Condizione: new