Data Analytics in Operations Management: A Review
Name
SSRN-id3381324.pdf
Description
Submitted version
Size
248.39 KB
Format
Adobe PDF
Checksum (MD5)
cb5c478e7bf6c551e44c87bf9b8eedc3
Author(s)
Mišić, Velibor V
Perakis, Georgia
Date Issued
2020
Journal
Manufacturing and Service Operations Management
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Version
Original manuscript
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.
MIT Department
Sloan School of Management
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1287/MSOM.2019.0805
