Optimizing Supply Chain In Industry 4 O Utilizing Ai And Big Data Analytics
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Optimizing Supply Chain in Industry 4.O – Utilizing AI and Big Data Analytics
Optimizing Supply Chain in Industry 4.0: Utilizing AI and Big Data Analytics the transformative impact of advanced technologies on supply chain management. How AI and big data analytics revolutionize operations, enabling predictive decision-making, enhanced efficiency, and real-time adaptability. Covering key concepts, applications, and strategies, it actionable insights for leveraging these technologies to build resilient, sustainable, and agile supply chains in the era of Industry 4.0. Designed for professionals, researchers, and students, it bridges theory with practical implementation for optimizing supply chain processes in a rapidly evolving digital landscape.
Big Data Analytics in Supply Chain Management
In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Engineering and Business students, scholars, and professionals, this book is a collection of state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge of emerging supply chain problems.
Multi-Stakeholder Collaboration for Sustainable Supply Chain
The future of supply chains points to strategic operations that are human-centered and sustainable. Sustainable supply chains play a crucial role in reducing waste and emissions while increasing energy efficiency. Using new technologies, including artificial intelligence (AI), big data, and Internet of Things (IoT), supply chain security and logistics increase privacy, accuracy, and efficiency. Furthermore, multi-stakeholder collaboration in supply chains may improve performance in businesses and foster a sustainable organizational culture. Multi-Stakeholder Collaboration for Sustainable Supply Chain promotes radical innovation and model development to measure the impact of human collaboration and sustainable development solutions. Sustainable solutions and alternatives to meet challenges faced by supply chains are examined, analyzed and discussed. Covering topics such as vendor managed inventory, conflicting interests, and multi-criteria decision analysis, this book is an excellent resource for business leaders, executives, manufacturers, engineers, researchers, academicians, and more.