ROLE OF BIG DATA IN SUPPLY CHAIN MANAGEMENT

For modern industry, supply chain optimization is becoming very important. To stay ahead of the competition, companies must be able to optimize their supply chain. This paper examines the applications of Big Data in supply chain management, opportunities, benefits, challenges, and future trends. Big Data plays an important role in various areas of supply chain management, such as procurement planning, logistic, inventory, innovation and product design, operations efficiency and maintenance, product and market strategy development, and network design. The increasing amount of data shared by supply chains in manufacturing and service sectors justifies the use of Big Data in supply chain management. Benefits that may result from using big data in supply chain management include better decision-decision making, improving efficiency, cost reduction, better risk management, and better visibility and competition. Challenges that face introducing and adopting big data in supply chain management include IT capabilities and infrastructure, talent management and HR, information and cyber security, integration and collaboration, information management, governance and compliance, financial implications, and ethical and managerial implications. The study revealed the areas for future directions in the development of Big Data research in the supply chain management, which include big data models in supply chain management, application of big data on closed loop supply chain management, application of big data on supply chain management function level, and new big data techniques