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A Scheduling and Capable-to-Promise Application for Swift & Company

Author

Listed:
  • Ann Bixby

    (Aspen Technology, Inc., 2500 CityWest Boulevard, Suite 1500, Houston, Texas 77042)

  • Brian Downs

    (Aspen Technology, Inc., 2500 CityWest Boulevard, Suite 1500, Houston, Texas 77042)

  • Mike Self

    (Swift & Company, 1770 Promontory Circle, Greeley, Colorado 80634)

Abstract

Swift & Company uses an integrated system of 45 linear-programming models based on three model formulations to dynamically schedule its beef-fabrication operations at five plants in real time as it receives orders. This scheduling application resulted in documented improvements in key metrics, such as order fulfillment, on-time delivery, and the percentage of a week’s scheduled production for which there are existing orders. The application enabled Swift & Company to execute its business strategy and obtain a 200 percent return on investment in its first year of production.

Suggested Citation

  • Ann Bixby & Brian Downs & Mike Self, 2006. "A Scheduling and Capable-to-Promise Application for Swift & Company," Interfaces, INFORMS, vol. 36(1), pages 69-86, February.
    • Handle: RePEc:inm:orinte:v:36:y:2006:i:1:p:69-86
    DOI: 10.1287/inte.1050.0184
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    Citations

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    Cited by:

    1. Andrew Johnson & Yao Zhao & Xin Xu, 2016. "Transportation Planning and Scheduling for the 2014 Special Olympics USA Games," Interfaces, INFORMS, vol. 46(3), pages 218-230, April.
    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. Ferrer, Juan-Carlos & Mac Cawley, Alejandro & Maturana, Sergio & Toloza, Sergio & Vera, Jorge, 2008. "An optimization approach for scheduling wine grape harvest operations," International Journal of Production Economics, Elsevier, vol. 112(2), pages 985-999, April.

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