Data-Driven Innovation in Supply Chains and Manufacturing

Name: Data-Driven Innovation in Supply Chains and Manufacturing
Price: 97.75 AUD
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From Predictive Analytics to Natural Language Processing

By: Nipun Joshi (Editor), Srinivas R. Gottimukkala (Editor), Shiva Kumar Bhuram (Editor), Sahil Tripathi (Editor), Parth Saxena (Editor)

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Paperback | 31 August 2026 | Edition Number 1

At a Glance

Format
Paperback

Dimensions(cm)
25.4 x 17.8

Paperback

RRP $112.00

$97.75

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Available: 31st August 2026

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This book explores how modern technologiesâ"especially data analytics, machine learning (ML), and the Internet of Things (IoT)â"are transforming supply chain and manufacturing operations. Bridging academic research and industrial practice, this book presents data as a strategic asset driving agility, efficiency, and resilience.

Structured around four themes, it covers:

Foundational analytics and optimization
Predictive and prescriptive analytics for proactive decisionâ'making
Realâ'time IoT data for workflow monitoring and control
Digital Twins and Natural Language Processing (NLP) for modeling and interaction

Chapters include mathematical modeling, case studies, and implementation frameworks, with coverage spanning stochastic forecasting, reinforcement learning, anomaly detection, and semantic parsing of logistics documentation.

Key benefits include its emphasis on integrated intelligenceâ"blending ML, IoT, and simulation for realâ'time, predictive insights. It also highlights scalability across industries, with tools adaptable to sectors like automotive, healthcare, and aerospace. Each chapter concludes with open problems and future directions, offering a roadmap for innovation in intelligent operations.

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