Data-centric Approaches to Industrial Decisions

Technology, Digitisation and Business Decisions
Herausgegeben:Kapur, P. K.; Alhazmi, Omar; Singhal, Shakshi

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Asset Analytics
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-7555-5
• Seitenzahl: 350
• Erscheinungstermin: August 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9789819675555
• Artikelnr.: 73990631

Inhaltsangabe

Data Preprocessing and Fault Big Data Analysis for Open Source Software.- Towards a Practical Semantic Web of Things Framework for Underwater Sensor Network.- From Solid Waste to Mathematics of OR: The Concept of Recycling.- Human Emotion Detection using Speech Recognition in Real Time.- Case Study of Brand Resilience with special reference to S7 crisis of Samsung Electronics.- Online fraud on Social media sites.- Artificial Intelligence: Revolutionizing Industrial Decisions.