Advanced Practices in Auditing, Regulatory Compliance, and Smart Manufacturing Systems
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https://doi.org/10.70593/978-93-7185-253-1
Keywords:
Smart Manufacturing, Artificial Intelligence, Regulatory Compliance, Machine Learning, Industry 4.0, Predictive Maintenance, Audit AutomationSynopsis
In today’s rapidly evolving industrial landscape, the convergence of advanced auditing practices, stringent regulatory compliance, and smart manufacturing systems is reshaping how organizations operate and thrive. This book, Advanced Practices in Auditing, Regulatory Compliance, and Smart Manufacturing Systems, serves as a comprehensive guide for professionals, researchers, and students navigating this complex, interconnected domain. The integration of Industry 4.0 technologies—such as IoT, AI, big data analytics, and cyber-physical systems—has transformed traditional manufacturing into intelligent, adaptive ecosystems. These advancements demand not only innovative operational strategies but also robust auditing frameworks and unwavering compliance with global standards and regulations. Failure in any of these areas can expose enterprises to significant risks, both financial and reputational.
This book explores cutting-edge auditing methodologies designed to provide real-time assurance in smart environments, highlights evolving compliance landscapes, and examines how digital transformation enhances or complicates regulatory adherence. It bridges the gap between theoretical principles and real-world implementation, offering practical insights, case studies, and tools for managing modern-day challenges. Each chapter has been curated to provide clarity, foster critical thinking, and encourage the integration of ethical and sustainable practices. Our aim is to empower readers with the knowledge and capabilities required to lead with confidence in the era of smart manufacturing.
We hope this book contributes meaningfully to your understanding and inspires proactive engagement in building secure, compliant, and innovative industrial futures.
Chapters
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Understanding the critical role of auditing and compliance in complex and regulated environments
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Adapting global compliance standards to the unique challenges of the modern manufacturing sector
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Designing risk-aware industrial infrastructure aligned with legal and operational requirements
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Leveraging artificial intelligence for automated regulatory monitoring and compliance reporting
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The integration of machine learning to streamline manufacturing and improve quality assurance
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Building compliance-focused infrastructure with robust data security and operational transparency
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Driving audit efficiency through real-time data collection and artificial intelligence-powered insights
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Fostering organizational integrity through governance and ethical compliance initiatives
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Automating internal controls and documentation processes using AI and workflow tools
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Enhancing quality control and safety through smart sensors and predictive maintenance models
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Industry case studies on intelligent compliance implementation and smart manufacturing
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Future-proofing compliance programs with blockchain, artificial intelligence governance, and predictive compliance engines
Downloads
Published
10 June 2025
Copyright (c) 2025 Dwaraka Nath Kummari
Details about the available publication format: E-Book
E-Book
ISBN-13 (15)
978-93-7185-253-1
Details about the available publication format: Book (Paperback)
Book (Paperback)
ISBN-13 (15)
978-93-7185-391-0
How to Cite
Kummari, D. N. . (2025). Advanced Practices in Auditing, Regulatory Compliance, and Smart Manufacturing Systems. Deep Science Publishing. https://doi.org/10.70593/978-93-7185-253-1
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