Developing Operations Management Data Analytics

Production and Operations Management Forthcoming

30 Pages Posted: 5 May 2022

See all articles by Qi Feng

Qi Feng

Mitchell E. Daniels, Jr School of Business, Purdue University

J. George Shanthikumar

Purdue University - Krannert School of Management

Date Written: March 24, 2022

Abstract

In this article, we describe representative contributions in several major application areas of
data analytics in operations management to summarize the recent development, discuss the common themes, identify the current trends and speculate the future directions. Certainly, many important contributions have been made in many application areas that are either directly or indirectly related to data analytics, and there are important theoretical developments made by scholars in our fi eld. It is not our intention to provide a complete survey for data-analytics work in our field. Instead, we focus only on the aspect of data-integration in operational decision making by describing the most popular applications where data analytics is applied.

Keywords: Data analytics, data integration, learning-then-earning, learning-or-earning

Suggested Citation

Feng, Qi and Shanthikumar, J. George, Developing Operations Management Data Analytics (March 24, 2022). Production and Operations Management Forthcoming, Available at SSRN: https://ssrn.com/abstract=4096320 or http://dx.doi.org/10.2139/ssrn.4096320

Qi Feng (Contact Author)

Mitchell E. Daniels, Jr School of Business, Purdue University ( email )

403 Mitch Daniels Blvd.
West Lafayette, IN 47907
United States

J. George Shanthikumar

Purdue University - Krannert School of Management ( email )

1310 Krannert Building
West Lafayette, IN 47907-1310
United States

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