Data Analytics in Operations Management: A Review

Velibor V. Mišić () and Georgia Perakis ()
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Velibor V. Mišić: Anderson School of Management, University of California, Los Angeles, Los Angeles, California 90095;
Georgia Perakis: Sloan School of Management, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139

Manufacturing & Service Operations Management, 2020, vol. 22, issue 1, 158–169

Abstract: 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.

Keywords: data analytics; machine learning; operations management (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (37)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormsom:v:22:y:2020:i:1:p:158-169

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