Supply Chain Management Optimization in the Manufacturing Industry through Digital Transformation: The Role of Big Data, Artificial Intelligence, and the Internet of Things

Main Article Content

Arif Rachman Putra
Samsul Arifin

Abstract

Supply chain management in the manufacturing sector has undergone rapid development with the adoption of digital technologies such as Big Data, Artificial Intelligence (AI), and the Internet of Things (IoT). These technologies play a role in improving the operational efficiency, transparency, and competitiveness of the manufacturing industry. By leveraging Big Data and AI, companies can optimize production strategies, accurately forecast market demand, and reduce the risk of supply chain disruptions. IoT enables real-time inventory traceability and management, which results in improved distribution and logistics effectiveness. The implementation of this technology also faces challenges, such as high investment costs, complex system integration, and limited workforce with digital skills. This research uses a literature study approach to evaluate the effectiveness of digital technology-based supply chain management strategies to improve the efficiency and resilience of the manufacturing industry. The results show that the successful implementation of this technology depends on organizational readiness, policy support, and human resource adaptability. Therefore, collaboration between companies, government, and academia is needed to create an ecosystem that supports digital transformation in the manufacturing sector. Supply chain digitization can improve industrial competitiveness while creating a more sustainable manufacturing system.

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How to Cite

Putra, A. R., & Arifin, S. (2021). Supply Chain Management Optimization in the Manufacturing Industry through Digital Transformation: The Role of Big Data, Artificial Intelligence, and the Internet of Things. Journal of Social Science Studies, 1(2), 161-166. https://jos3journals.id/index.php/jos3/article/view/73

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