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Developing operations management data analytics

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  • Qi Feng
  • J. George Shanthikumar

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 various application areas that are either directly or indirectly related to data analytics, and there are important theoretical developments made by scholars in our field. 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 of data analytics.

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  • Qi Feng & J. George Shanthikumar, 2022. "Developing operations management data analytics," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4544-4557, December.
    • Handle: RePEc:bla:popmgt:v:31:y:2022:i:12:p:4544-4557
    DOI: 10.1111/poms.13868
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    Cited by:

    1. Subodha Kumar & Christopher S. Tang, 2022. "Expanding the boundaries of the discipline: The 30th‐anniversary issue of Production and Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4257-4261, December.

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