Asset Analytics: Technology, Digitisation and Business Decisions

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

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.

Details

Published by: Springer

Publication Date: 2025-07-31

Format: Hardcover

ISBN-13: 9789819675555

DOI: 10.1007/978-981-96-7556-2

Dimensions: 235cm x155cm

Pages: 478