Gebundenes Buch

Data-centric Approaches to Industrial Decisions

Technology, Digitisation and Business Decisions

Herausgegeben: Kapur, P. K.; Alhazmi, Omar; Singhal, Shakshi

Beschreibung

This book explores mathematical modeling, predictive analytics, and interdisciplinary tools in formulating, implementing, and evaluating industrial strategies. This book presents cutting-edge research that intersects advanced computational techniques with practical decision-making across industries. This edited book showcases a curated collection of peer-reviewed contributions from international scholars and practitioners, addressing the growing complexity of business decisions in the era of big data, AI, and digital transformation.

From cyber-physical systems to sustainability analytics and business intelligence, each chapter provides a robust academic foundation while offering real-world implications for policymakers, managers, and researchers.

With a focus on actionable insights, the book is a vital reference for operations research, analytics, and digital strategy professionals and an enriching resource for postgraduate and doctoral scholars across business and engineering disciplines.

Autor

P. K. Kapur is Director of Amity Center for Interdisciplinary Research, Amity University, Noida. He is a former Dean of the Faculty of Mathematical Sciences and a former Head of the Department of Operational Research at University of Delhi, India. His vast research experience in the areas of software reliability, optimization, innovation diffusion modeling in marketing, multi-criteria decision-making (MCDM), big data projects adoption, and other management areas is illustrated through his work with nearly 400 research paper publications in top international and national journals/proceedings of repute. Professor Kapur has supervised almost 75 PhD and MPhil scholars. He is also Member of the University Research Council, Amity University, Noida, India. He has authored and edited many books and is also Editor-in-Chief of the Springer journal International Journal of Systems Assurance Engineering and Management (IJSAEM). He has executed various University Grants Commission (UGC) and Defence Research and Development Organisation (DRDO) research projects in the areas of software reliability and innovation diffusion modeling.  Omar H. Alhazmi is Professor in the Department of Computer Science at Taibah University in Medina, Saudi Arabia. He obtained his PhD from Colorado State University, USA. He has been a member of editorial boards in several journals. At the Taibah University, he has served as Member of the Scientific Board (2017-2020), and Chair of the Faculty Affairs Committee (2018-2020). Moreover, at the University’s College of Computer Science and Engineering, he served as Vice Dean for quality from 2011-2017 and Vice Dean for academic affairs from 2017-2020. Professor Alhazmi has been a reviewer for the Saudi academic quality and accreditation (NCAAA) and a referee at the Saudi Gifted Organization (2014-2016). Furthermore, he has provided consultancy services in some private and public sector projects.  Dr. Shakshi Singhal is an Assistant Professor in Production, Operations, and Decision Science Area at XLRI Xavier School of Management, Delhi NCR Campus. She holds a Ph.D. in Operational Research from the University of Delhi. Besides this, she has an M.Phil. and Master’s in Operational Research and a bachelor’s in computer science from the University of Delhi. Her teaching and research interests span Operations Research, Statistics and Probability, Optimization, Predictive Analytics, Technology Diffusion, Decision-making under Uncertainty, Logistics and Supply Chain Management, and Waste Management. Dr. Singhal’s research has been published in several leading international journals, including Technological Forecasting and Social Change, Annals of Operations Research, Journal of Systems and Software, and Benchmarking: An International Journal. She serves as a Managing Editor for the International Journal of System Assurance Engineering and Management (Springer). She is an active member of professional bodies such as INFORMS and the Society for Reliability Engineering, Quality, and Operations Management (SREQOM). Dr. Singhal has also contributed to numerous national and international conferences as a session chair, reviewer, and organizing committee member.

Produktdetails

• Asset Analytics
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-7555-5
• Seitenzahl: 488
• Erscheinungstermin: 31. Juli 2025
• Englisch
• Abmessung: 241mm x 160mm x 30mm
• Gewicht: 924g
• ISBN-13: 9789819675555
• ISBN-10: 9819675553
• Artikelnr.: 73990631