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Data Analytics in Operations Management: A Review

Author(s)
Mišić, Velibor V; Perakis, Georgia
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Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
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Abstract
© 2019 INFORMS 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.
Date issued
2020
URI
https://hdl.handle.net/1721.1/136275
Department
Sloan School of Management
Journal
Manufacturing and Service Operations Management
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)

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