Advancing Sustainable Automotive Manufacturing Through Ai Driven Predictive Maintenance Digital Twins And Intelligent Data Warehousing
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Sustainable Advanced Manufacturing and Logistics in ASEAN
Author: Sakalayen, Quazi Mohammed Habibus
language: en
Publisher: IGI Global
Release Date: 2025-02-28
Sustainable advanced manufacturing and logistics emerge as drivers of economic growth and environmental responsibility across the ASEAN region. As global supply chains become interconnected, and demand for innovative, eco-friendly solutions rises, ASEAN countries are adopting cutting-edge manufacturing technologies and logistics strategies that prioritize sustainability. From the integration of smart automation, additive manufacturing, and energy-efficient production processes to the adoption of green logistics and circular economy principles, the region is paving the way for industrial progress and environmental stewardship. These advancements support the economic development goals of ASEAN while aligning with global efforts to reduce carbon footprints, minimize waste, and promote resource efficiency, positioning the region as a leader in sustainable industrial practices. Sustainable Advanced Manufacturing and Logistics in ASEAN explores the fusion of cutting-edge manufacturing practices and sustainable logistics. It examines the economic landscapes and opportunities within the ASEAN region, unraveling the potential for foreign investments and forecasting the future of advanced manufacturing logistics. This book covers topics such as green logistics, circular economy, and machine learning, and is a useful resource for engineers, scientists, business owners, urban and regional developers, academicians, and researchers.
Artificial Intelligence in Workplace Health and Safety
In today's dynamic workplace environment, ensuring the safety and well-being of employees has never been more critical. This book explores cutting-edge technologies intersecting with workplace safety to deliver effective and practical results. Artificial Intelligence in Workplace Health and Safety: Data-Driven Technologies, Tools and Techniques offers a comprehensive roadmap for professionals, researchers, and practitioners in work health and safety (WHS), revolutionizing traditional approaches through the integration of data-driven methodologies and artificial intelligence. Covering the foundations and practical applications of data-driven WHS and historical perspectives to current regulatory frameworks, it investigates the key concepts of data collection, management, and integration. Through real-world case studies and examples, readers can discover how AI technologies such as machine learning, computer vision, and natural language processing are reshaping WHS practices, mitigating risks, and optimizing safety measures. The reader will learn applications of AI and data-driven methodologies in their workplace settings to improve safety. With its practical insights, real-world examples, and progressive approach, this title ensures that readers are not just prepared for the future of WHS but empowered to shape it for better. This text is written for professionals and practitioners seeking to enhance workplace safety through innovative technologies. This extends to safety professionals, HR personnel and engineers across different sectors.