Data Analytics in Operations Management: A Review

Manufacturing & Services Operations Management, Forthcoming

21 Pages Posted: 28 May 2019

See all articles by Velibor Mišić

Velibor Mišić

University of California, Los Angeles (UCLA) - Anderson School of Management

Georgia Perakis

Massachusetts Institute of Technology (MIT) - Sloan School of Management

Date Written: March 29, 2019

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; optimization; machine learning; supply chain management; revenue management; healthcare operations; operations management

Suggested Citation

Misic, Velibor and Perakis, Georgia, Data Analytics in Operations Management: A Review (March 29, 2019). Manufacturing & Services Operations Management, Forthcoming , Available at SSRN: https://ssrn.com/abstract=3381324 or http://dx.doi.org/10.2139/ssrn.3381324

Velibor Misic (Contact Author)

University of California, Los Angeles (UCLA) - Anderson School of Management ( email )

110 Westwood Plaza
Los Angeles, CA 90095-1481
United States

Georgia Perakis

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

100 Main Street
E62-565
Cambridge, MA 02142
United States

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