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MSD: Continuous Pharmaceutical Manufacturing Data for the 2024 MSOM Data-Driven Research Challenge

Author

Listed:
  • Tugce Martagan

    (Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5612 AZ Eindhoven, Netherlands)

  • Marc Baaijens

    (Ceva Santé Animale, 33500 Libourne, France)

  • Coen Dirckx

    (Department of Industrial Engineering and Innovation Sciences, Eindhoven University of Technology, 5612 AZ Eindhoven, Netherlands; MSD, 5831 AN Boxmeer, Netherlands)

  • James Holman

    (Technology Management, GEA Group, Eastleigh SO53 4DG, United Kingdom)

  • Robert Meyer

    (Merck & Co., Inc., Rahway, New Jersey 07065)

  • Oscar Repping

    (Ceva Santé Animale, 33500 Libourne, France)

  • Bram van Ravenstein

    (MSD, 5831 AN Boxmeer, Netherlands)

Abstract

To support the 2024 MSOM Data-Driven Research Challenge, Merck & Co., Inc., Rahway, New Jersey (hereafter “MSD”), provides pharmaceutical manufacturing data from a continuous tablet production setting. The data set contains approximately 300 million data points related to around 75 process parameters monitored over 120 hours. In this paper, we present the data set and share our vision to inspire and facilitate new applications of operations management (OM) methodologies in pharmaceutical manufacturing. We begin with an introduction to pharmaceutical manufacturing for OM researchers and then elaborate on emerging technologies, common industry challenges, and research opportunities. We explain the data set and propose a roadmap for future research directions. Researchers are welcome to examine the proposed research questions or analyze other research questions using the data set. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2024.0860

Suggested Citation

  • Tugce Martagan & Marc Baaijens & Coen Dirckx & James Holman & Robert Meyer & Oscar Repping & Bram van Ravenstein, 2024. "MSD: Continuous Pharmaceutical Manufacturing Data for the 2024 MSOM Data-Driven Research Challenge," Manufacturing & Service Operations Management, INFORMS, vol. 26(5), pages 1587-1604, September.
    • Handle: RePEc:inm:ormsom:v:26:y:2024:i:5:p:1587-1604
    DOI: 10.1287/msom.2024.0860
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