IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v32y2002i1p61-77.html
   My bibliography  Save this article

SLIM: Short Cycle Time and Low Inventory in Manufacturing at Samsung Electronics

Author

Listed:
  • Robert C. Leachman

    (Department of Industrial Engineering and Operations Research, University of California at Berkeley, Berkeley, California 94720–1777)

  • Jeenyoung Kang

    (IBM Korea, Inc., MMAA Building, Dogok-dong, Gangnam-gu, Seoul, Korea 467–12)

  • Vincent Lin

    (Leachman and Associates LLC, 5870 Carmel Way, Union City, California 94587)

Abstract

SLIM is a set of methodologies and scheduling applications for managing cycle time in semiconductor manufacturing. SLIM includes methodology for calculating target cycle times and target WIP levels for individual manufacturing steps, heuristic algorithms for factory floor scheduling, and optimization-based capacity analysis. Between 1996 and 1999, Samsung Electronics Corp., Ltd., implemented SLIM in all its semiconductor manufacturing facilities. It reduced manufacturing cycle times to fabricate dynamic random access memory devices from more than 80 days to less than 30. Considering the decline of selling prices for dynamic random access memory devices, SLIM enabled Samsung to capture an additional $1 billion in sales revenue compared to the revenue it would have realized had cycle times not been reduced.

Suggested Citation

  • Robert C. Leachman & Jeenyoung Kang & Vincent Lin, 2002. "SLIM: Short Cycle Time and Low Inventory in Manufacturing at Samsung Electronics," Interfaces, INFORMS, vol. 32(1), pages 61-77, February.
    • Handle: RePEc:inm:orinte:v:32:y:2002:i:1:p:61-77
    DOI: 10.1287/inte.32.1.61.15
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.32.1.61.15
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.32.1.61.15?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
    ---><---

    Citations

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


    Cited by:

    1. Payman Jula & Robert C. Leachman, 2010. "Coordinated Multistage Scheduling of Parallel Batch-Processing Machines Under Multiresource Constraints," Operations Research, INFORMS, vol. 58(4-part-1), pages 933-947, August.
    2. Peter C. Bell & Jing Chen, 2017. "Close integration of pricing and supply chain decisions has strategic as well as operations level benefits," Annals of Operations Research, Springer, vol. 257(1), pages 77-93, October.
    3. Steven M. Brown & Thomas Hanschke & Ingo Meents & Benjamin R. Wheeler & Horst Zisgen, 2010. "Queueing Model Improves IBM's Semiconductor Capacity and Lead-Time Management," Interfaces, INFORMS, vol. 40(5), pages 397-407, October.
    4. Leachman, Robert C. & Ding, Shengwei, 2007. "Integration of speed economics into decision-making for manufacturing management," International Journal of Production Economics, Elsevier, vol. 107(1), pages 39-55, May.
    5. Toly Chen & Yu-Cheng Wang, 2014. "Enhancing the Effectiveness of Cycle Time Estimation in Wafer Fabrication-Efficient Methodology and Managerial Implications," Sustainability, MDPI, vol. 6(8), pages 1-22, August.
    6. Phillip O. Kriett & Sebastian Eirich & Martin Grunow, 2017. "Cycle time-oriented mid-term production planning for semiconductor wafer fabrication," International Journal of Production Research, Taylor & Francis Journals, vol. 55(16), pages 4662-4679, August.
    7. Payman Jula & Robert Leachman, 2008. "Coordinating decentralized local schedulers in complex supply chain manufacturing," Annals of Operations Research, Springer, vol. 161(1), pages 123-147, July.
    8. Yao, Shiqing & Jiang, Zhibin & Li, Na & Zhang, Huai & Geng, Na, 2011. "A multi-objective dynamic scheduling approach using multiple attribute decision making in semiconductor manufacturing," International Journal of Production Economics, Elsevier, vol. 130(1), pages 125-133, March.

    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:32:y:2002:i:1:p:61-77. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.