Data Analytics in Operations Management: A Review

• 成果类型: Review
• 署名作者: Misic, Velibor V.; Perakis, Georgia
• 署名单位: University of California System; University of California Los Angeles; Massachusetts Institute of Technology (MIT)
• 刊物名称: M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1523-4614
• DOI: 10.1287/msom.2019.0805
• 发表日期: 2020
• 页码: 158-169
• 关键词: data analytics; Machine Learning; operations management

摘要

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.