This paper is published in Volume-10, Issue-5, 2024
Area
Data Analytics
Author
Mudenahalli Ashoka Karthik
Org/Univ
R V College of Engineering, Bengaluru, India
Keywords
Data Analytics, Supply Chain Optimization, Industry 4.0, Demand Forecasting, Inventory Management, Predictive Analytics, Artificial Intelligence (AI), Internet of Things (IoT), Machine Learning, Logistics Optimization, Supplier Relationship Management, Risk Management, Big Data, Digital Twins, Case Studies
Citations
IEEE
Mudenahalli Ashoka Karthik. Harnessing Data Analytics for Supply Chain Optimization: Insights from Industry 4.0, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Mudenahalli Ashoka Karthik (2024). Harnessing Data Analytics for Supply Chain Optimization: Insights from Industry 4.0. International Journal of Advance Research, Ideas and Innovations in Technology, 10(5) www.IJARIIT.com.
MLA
Mudenahalli Ashoka Karthik. "Harnessing Data Analytics for Supply Chain Optimization: Insights from Industry 4.0." International Journal of Advance Research, Ideas and Innovations in Technology 10.5 (2024). www.IJARIIT.com.
Mudenahalli Ashoka Karthik. Harnessing Data Analytics for Supply Chain Optimization: Insights from Industry 4.0, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Mudenahalli Ashoka Karthik (2024). Harnessing Data Analytics for Supply Chain Optimization: Insights from Industry 4.0. International Journal of Advance Research, Ideas and Innovations in Technology, 10(5) www.IJARIIT.com.
MLA
Mudenahalli Ashoka Karthik. "Harnessing Data Analytics for Supply Chain Optimization: Insights from Industry 4.0." International Journal of Advance Research, Ideas and Innovations in Technology 10.5 (2024). www.IJARIIT.com.
Abstract
The emergence of Industry 4.0 has revolutionized supply chain management through advancements in data analytics. This paper explores how organizations leverage data analytics to optimize their supply chains, focusing on increased efficiency, improved decision-making, and enhanced customer satisfaction. By examining key concepts, technologies, and detailed case studies, this research highlights the transformative potential of data analytics within the context of Industry 4.0, providing actionable insights for both researchers and practitioners.
