Data Analytics in Operations Management: A Review

Research in operations management has traditionally focused on models for understanding, mostly at a strategic level, how firms should operate. Spurred by the growing availability of data and recent advances in machine learning and optimization methodologies, there has been an increasing application of data analytics to problems in operations management. In this paper, we review recent applications of data analytics to operations management in three major areas—supply chain management, revenue management, and healthcare operations—and highlight some exciting directions for the future.

• 저널Manufacturing & Service Operations Management · 22(1) · 158–169
• 토픽Supply Chain and Inventory Management · Management Information Systems
• DOI10.1287/msom.2019.0805
• 저자Velibor V. Mišić, Georgia Perakis