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<p class="MsoNormal" style="margin-bottom: 10.0pt; text-align: justify; line-height: 115%;"><span style="font-family: 'Arial',sans-serif; color: black; mso-themecolor: text1;">This book explores mathematical modeling, predictive analytics, and interdisciplinary tools in formulating, implementing, and evaluating industrial strategies.<strong><em> </em></strong><span style="mso-bidi-font-weight: bold; mso-bidi-font-style: italic;">This book</span> 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.</span></p><p class="MsoNormal" style="margin-bottom: 10.0pt; text-align: justify; line-height: 115%;"><span style="font-family: 'Arial',sans-serif; color: black; mso-themecolor: text1;">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.</span></p><p class="MsoNormal" style="margin-bottom: 10.0pt; text-align: justify; line-height: 115%;"><span style="font-family: 'Arial',sans-serif; color: black; mso-themecolor: text1;">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.</span></p>

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Data-centric Approaches to Industrial Decisions

  • 书籍

  • 发表日期：

    2025年

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摘要

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.