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OM Forum —OM Research: From Problem-Driven to Data-Driven Research

Author

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  • David Simchi-Levi

    (Operations Research Center, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139)

Abstract

This essay, based on my 2013 MSOM Distinguished Fellow lecture, presents my view on new opportunities and challenges for research in operations management.

Suggested Citation

  • David Simchi-Levi, 2014. "OM Forum —OM Research: From Problem-Driven to Data-Driven Research," Manufacturing & Service Operations Management, INFORMS, vol. 16(1), pages 2-10, February.
    • Handle: RePEc:inm:ormsom:v:16:y:2014:i:1:p:2-10
    DOI: 10.1287/msom.2013.0471
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    References listed on IDEAS

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    1. Charles J. Corbett & Luk N. Van Wassenhove, 1993. "The Natural Drift: What Happened to Operations Research?," Operations Research, INFORMS, vol. 41(4), pages 625-640, August.
    2. Richard M. Karp, 1977. "Probabilistic Analysis of Partitioning Algorithms for the Traveling-Salesman Problem in the Plane," Mathematics of Operations Research, INFORMS, vol. 2(3), pages 209-224, August.
    3. Simchi-Levi, David, 2010. "Operation Rules: Delivering Customer Value through Flexible Operations," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262525151, December.
    4. Julien Bramel & David Simchi-Levi, 1996. "Probabilistic Analyses and Practical Algorithms for the Vehicle Routing Problem with Time Windows," Operations Research, INFORMS, vol. 44(3), pages 501-509, June.
    5. David Simchi-Levi & Yehua Wei, 2012. "Understanding the Performance of the Long Chain and Sparse Designs in Process Flexibility," Operations Research, INFORMS, vol. 60(5), pages 1125-1141, October.
    6. William C. Jordan & Stephen C. Graves, 1995. "Principles on the Benefits of Manufacturing Process Flexibility," Management Science, INFORMS, vol. 41(4), pages 577-594, April.
    7. Richard C. Larson, 1990. "The Queue Inference Engine: Deducing Queue Statistics from Transactional Data," Management Science, INFORMS, vol. 36(5), pages 586-601, May.
    8. Mabel C. Chou & Geoffrey A. Chua & Chung-Piaw Teo & Huan Zheng, 2010. "Design for Process Flexibility: Efficiency of the Long Chain and Sparse Structure," Operations Research, INFORMS, vol. 58(1), pages 43-58, February.
    9. M. Haimovich & A. H. G. Rinnooy Kan, 1985. "Bounds and Heuristics for Capacitated Routing Problems," Mathematics of Operations Research, INFORMS, vol. 10(4), pages 527-542, November.
    10. Julien Bramel & David Simchi-Levi, 1995. "A Location Based Heuristic for General Routing Problems," Operations Research, INFORMS, vol. 43(4), pages 649-660, August.
    11. Wallace J. Hopp & Eylem Tekin & Mark P. Van Oyen, 2004. "Benefits of Skill Chaining in Serial Production Lines with Cross-Trained Workers," Management Science, INFORMS, vol. 50(1), pages 83-98, January.
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    Citations

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    Cited by:

    1. Ilan Lobel, 2021. "Revenue Management and the Rise of the Algorithmic Economy," Management Science, INFORMS, vol. 67(9), pages 5389-5398, September.
    2. Hau L. Lee & Christopher S. Tang, 2018. "Socially and Environmentally Responsible Value Chain Innovations: New Operations Management Research Opportunities," Management Science, INFORMS, vol. 64(3), pages 983-996, March.
    3. Christopher S. Tang, 2016. "OM Forum—Making OM Research More Relevant: “Why?” and “How?”," Manufacturing & Service Operations Management, INFORMS, vol. 18(2), pages 178-183, May.
    4. Francesca Maggioni & Florian A. Potra & Marida Bertocchi, 2017. "A scenario-based framework for supply planning under uncertainty: stochastic programming versus robust optimization approaches," Computational Management Science, Springer, vol. 14(1), pages 5-44, January.
    5. Mitręga, Maciej & Choi, Tsan-Ming, 2021. "How small-and-medium transportation companies handle asymmetric customer relationships under COVID-19 pandemic: A multi-method study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    6. Azrah A. Anparasan & Miguel A. Lejeune, 2018. "Data laboratory for supply chain response models during epidemic outbreaks," Annals of Operations Research, Springer, vol. 270(1), pages 53-64, November.
    7. Boute, Robert N. & Gijsbrechts, Joren & van Jaarsveld, Willem & Vanvuchelen, Nathalie, 2022. "Deep reinforcement learning for inventory control: A roadmap," European Journal of Operational Research, Elsevier, vol. 298(2), pages 401-412.
    8. Jérémie Gallien & Stephen C. Graves & Alan Scheller-Wolf, 2016. "OM Forum—Practice-Based Research in Operations Management: What It Is, Why Do It, Related Challenges, and How to Overcome Them," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 5-14, February.
    9. Christopher S. Tang, 2017. "OM Forum—Three Simple Approaches for Young Scholars to Identify Relevant and Novel Research Topics in Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 338-346, July.
    10. Opher Baron & Oded Berman & Dmitry Krass & Jianfu Wang, 2017. "Strategic Idleness and Dynamic Scheduling in an Open-Shop Service Network: Case Study and Analysis," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 52-71, February.
    11. Erland Hejn Nielsen & Steen Nielsen, 2020. "Preparing students for careers using business analytics and data-driven decision making," Economics Working Papers 2020-08, Department of Economics and Business Economics, Aarhus University.

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