IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v48y2018i3p189-203.html
   My bibliography  Save this article

The MIT Leaders for Global Operations Program

Author

Listed:
  • Georgia Perakis

    (MIT Sloan School of Management, Cambridge, Massachusetts 02139)

  • Donald Rosenfield

    (MIT Sloan School of Management, Cambridge, Massachusetts 02139)

Abstract

In 2014, the MIT Leaders for Global Operations Program (LGO) was awarded the third annual UPS George D. Smith Prize for effective and innovative preparation of students to be good practitioners of operations research. In this paper, we describe the innovative, interdisciplinary education of the two-year dual-degree LGO program, which trains students for careers in operations and manufacturing through a three-way partnership between the MIT School of Engineering, the MIT School of Management, and industry. The first-of-its-kind program includes a six-month research internship that results in a master’s thesis. This paper will discuss the LGO approach to preparing students for practicing operations research and the impact that the program has made on operations in manufacturing and services companies.

Suggested Citation

  • Georgia Perakis & Donald Rosenfield, 2018. "The MIT Leaders for Global Operations Program," Interfaces, INFORMS, vol. 48(3), pages 189-203, June.
    • Handle: RePEc:inm:orinte:v:48:y:2018:i:3:p:189-203
    DOI: 10.1287/inte.2017.0924
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/inte.2017.0924
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.2017.0924?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ping Josephine Xu & Russell Allgor & Stephen C. Graves, 2009. "Benefits of Reevaluating Real-Time Order Fulfillment Decisions," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 340-355, January.
    2. John Foreman & Jérémie Gallien & Julie Alspaugh & Fernando Lopez & Rohit Bhatnagar & Chee Chong Teo & Charles Dubois, 2010. "Implementing Supply-Routing Optimization in a Make-to-Order Manufacturing Network," Manufacturing & Service Operations Management, INFORMS, vol. 12(4), pages 547-568, August.
    3. Manuel E. Sosa & Steven D. Eppinger & Craig M. Rowles, 2004. "The Misalignment of Product Architecture and Organizational Structure in Complex Product Development," Management Science, INFORMS, vol. 50(12), pages 1674-1689, December.
    4. Alper Şen & Deepak Bhatia & Koray Doğan, 2010. "Applied Materials Uses Operations Research to Design Its Service and Parts Network," Interfaces, INFORMS, vol. 40(4), pages 253-266, August.
    5. Mallik Angalakudati & Siddharth Balwani & Jorge Calzada & Bikram Chatterjee & Georgia Perakis & Nicolas Raad & Joline Uichanco, 2014. "Business Analytics for Flexible Resource Allocation Under Random Emergencies," Management Science, INFORMS, vol. 60(6), pages 1552-1573, June.
    6. Felipe Caro & Jérémie Gallien & Miguel Díaz & Javier García & José Manuel Corredoira & Marcos Montes & José Antonio Ramos & Juan Correa, 2010. "Zara Uses Operations Research to Reengineer Its Global Distribution Process," Interfaces, INFORMS, vol. 40(1), pages 71-84, February.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Michael J. Fry & Jeffrey D. Camm & Glenn Wegryn, 2020. "Next Lives Here: Forging Academia–Industry Partnerships in Analytics at the University of Cincinnati," Interfaces, INFORMS, vol. 50(3), pages 166-175, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ho-Yin Mak & Zuo-Jun Max Shen, 2014. "Pooling and Dependence of Demand and Yield in Multiple-Location Inventory Systems," Manufacturing & Service Operations Management, INFORMS, vol. 16(2), pages 263-269, May.
    2. Mabel C. Chou & Geoffrey A. Chua & Huan Zheng, 2014. "On the Performance of Sparse Process Structures in Partial Postponement Production Systems," Operations Research, INFORMS, vol. 62(2), pages 348-365, April.
    3. Michael K. Lim & Ho-Yin Mak & Zuo-Jun Max Shen, 2017. "Agility and Proximity Considerations in Supply Chain Design," Management Science, INFORMS, vol. 63(4), pages 1026-1041, April.
    4. Timothy C. Y. Chan & Daniel Letourneau & Benjamin G. Potter, 2022. "Sparse flexible design: a machine learning approach," Flexible Services and Manufacturing Journal, Springer, vol. 34(4), pages 1066-1116, December.
    5. Zhen Xu & Hailun Zhang & Jiheng Zhang & Rachel Q. Zhang, 2020. "Online Demand Fulfillment Under Limited Flexibility," Management Science, INFORMS, vol. 66(10), pages 4667-4685, October.
    6. Cong Shi & Yehua Wei & Yuan Zhong, 2019. "Process Flexibility for Multiperiod Production Systems," Operations Research, INFORMS, vol. 67(5), pages 1300-1320, September.
    7. Omar, Yamila M. & Minoufekr, Meysam & Plapper, Peter, 2019. "Business analytics in manufacturing: Current trends, challenges and pathway to market leadership," Operations Research Perspectives, Elsevier, vol. 6(C).
    8. 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.
    9. Xi Chen & Jiawei Zhang & Yuan Zhou, 2015. "Optimal Sparse Designs for Process Flexibility via Probabilistic Expanders," Operations Research, INFORMS, vol. 63(5), pages 1159-1176, October.
    10. David Simchi-Levi & Yehua Wei, 2015. "Worst-Case Analysis of Process Flexibility Designs," Operations Research, INFORMS, vol. 63(1), pages 166-185, February.
    11. Tian Heong Chan & Shi-Ying Lim, 2023. "The Emergence of Novel Product Uses: An Investigation of Exaptations in IKEA Hacks," Management Science, INFORMS, vol. 69(5), pages 2870-2892, May.
    12. Wagner, Sebastian & Brandt, Tobias & Neumann, Dirk, 2016. "In free float: Developing Business Analytics support for carsharing providers," Omega, Elsevier, vol. 59(PA), pages 4-14.
    13. Kolloch, Michael & Dellermann, Dominik, 2018. "Digital innovation in the energy industry: The impact of controversies on the evolution of innovation ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 254-264.
    14. M. Eisenman & S. Paruchuri & P. Puranam, 2020. "The design of emergence in organizations," Journal of Organization Design, Springer;Organizational Design Community, vol. 9(1), pages 1-6, December.
    15. Alan MacCormack & John Rusnak & Carliss Y. Baldwin, 2006. "Exploring the Structure of Complex Software Designs: An Empirical Study of Open Source and Proprietary Code," Management Science, INFORMS, vol. 52(7), pages 1015-1030, July.
    16. Willem van Jaarsveld & Alan Scheller-Wolf, 2015. "Optimization of Industrial-Scale Assemble-to-Order Systems," INFORMS Journal on Computing, INFORMS, vol. 27(3), pages 544-560, August.
    17. MacCormack, Alan & Baldwin, Carliss & Rusnak, John, 2012. "Exploring the duality between product and organizational architectures: A test of the “mirroring” hypothesis," Research Policy, Elsevier, vol. 41(8), pages 1309-1324.
    18. Robert S. Huckman & Bradley R. Staats, 2011. "Fluid Tasks and Fluid Teams: The Impact of Diversity in Experience and Team Familiarity on Team Performance," Manufacturing & Service Operations Management, INFORMS, vol. 13(3), pages 310-328, July.
    19. 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.
    20. Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orinte:v:48:y:2018:i:3:p:189-203. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.