IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v26y1996i1p6-37.html
   My bibliography  Save this article

IMPReSS: An Automated Production-Planning and Delivery-Quotation System at Harris Corporation—Semiconductor Sector

Author

Listed:
  • Robert C. Leachman

    (Engineering Systems Research Center, University of California at Berkeley, Berkeley, California 94720)

  • Robert F. Benson

    (Engineering Systems Research Center, University of California at Berkeley, Berkeley, California 94720)

  • Chihwei Liu

    (Tyecin Systems, Inc., Four Main Street, Los Altos, California 94022)

  • Dale J. Raar

    (Aeon Decision Engineering, Inc., 1290 Oak Hampton Road, Holland, Michigan 49425)

Abstract

IMPReSS, an optimization-based production planning system at Harris Corporation's semiconductor sector, generates capacity-feasible production schedules for a worldwide manufacturing network and quotes product delivery dates in response to customer inquiries. The planning engine of IMPReSS is the Berkeley Planning System (BPS), which models the problem in a form that permits linear programming optimization. BPS embeds formulation techniques for planning the requirements of binning and substitutable products, for representing dynamic capacity consumption by reentrant process flows, and for developing multiple optimization calculations that reflect marketing priorities. It uses a heuristic decomposition strategy to break the overall problem into several manageable calculations. Its implementation raised on-time deliveries of line items from 75 to 95 percent without increasing inventories, enabled the sector to expand its markets and its market share, and helped move the sector from a loss of $75 million to profit of over $40 million annually.

Suggested Citation

  • Robert C. Leachman & Robert F. Benson & Chihwei Liu & Dale J. Raar, 1996. "IMPReSS: An Automated Production-Planning and Delivery-Quotation System at Harris Corporation—Semiconductor Sector," Interfaces, INFORMS, vol. 26(1), pages 6-37, February.
    • Handle: RePEc:inm:orinte:v:26:y:1996:i:1:p:6-37
    DOI: 10.1287/inte.26.1.6
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.26.1.6
    Download Restriction: no
    File URL: https://libkey.io/10.1287/inte.26.1.6?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. S Eom & E Kim, 2006. "A survey of decision support system applications (1995–2001)," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(11), pages 1264-1278, November.
    2. Sawik, Tadeusz, 2007. "A lexicographic approach to bi-objective scheduling of single-period orders in make-to-order manufacturing," European Journal of Operational Research, Elsevier, vol. 180(3), pages 1060-1075, August.
    3. Lin, James T. & Chen, Tzu-Li & Lin, Yen-Ting, 2009. "Critical material planning for TFT-LCD production industry," International Journal of Production Economics, Elsevier, vol. 122(2), pages 639-655, December.
    4. Peter C. Bell & Chris K. Anderson & Stephen P. Kaiser, 2003. "Strategic Operations Research and the Edelman Prize Finalist Applications 1989--1998," Operations Research, INFORMS, vol. 51(1), pages 17-31, February.
    5. Peter C. Bell & Chris K. Anderson, 2002. "In Search of Strategic Operations Research/Management Science," Interfaces, INFORMS, vol. 32(2), pages 28-40, April.
    6. Ying-Ju Chen & Brian Tomlin & Yimin Wang, 2017. "Dual Coproduct Technologies: Implications for Process Development and Adoption," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 692-712, October.
    7. Alfred Degbotse & Brian T. Denton & Kenneth Fordyce & R. John Milne & Robert Orzell & Chi-Tai Wang, 2013. "IBM Blends Heuristics and Optimization to Plan Its Semiconductor Supply Chain," Interfaces, INFORMS, vol. 43(2), pages 130-141, April.

    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:26:y:1996:i:1:p:6-37. 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.