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UPS Optimizes Delivery Routes

Author

Listed:
  • Chuck Holland

    (UPS, Atlanta, Georgia 30328)

  • Jack Levis

    (UPS, Timonium, Maryland 21093)

  • Ranganath Nuggehalli

    (UPS, Timonium, Maryland 21093)

  • Bob Santilli

    (UPS, Timonium, Maryland 21093)

  • Jeff Winters

    (UPS, Timonium, Maryland 21093)

Abstract

UPS, the leading logistics provider in the world, and long known for its penchant for efficiency, embarked on a journey to streamline and modernize its pickup and delivery operations in 2003. This journey resulted in a suite of systems, including a meta-heuristic optimization system, which it called “On Road Integrated Optimization and Navigation” (ORION). Every day, ORION provides an optimized route for each of UPS’ 55,000 U.S. drivers based on the packages to be picked up and delivered on that day. The system creates routes that maintain the desired level of consistency from day to day. To bring this transformational system from concept to reality, UPS instituted extensive change in management practices to ensure that both users and executives would accept the system. Costing more than $295 million to build and deploy, ORION is expected to save UPS $300–$400 million annually. ORION is also contributing to the sustainability efforts of UPS by reducing its CO 2 emissions by 100,000 tons annually. By providing a foundation for a new generation of advanced planning systems, ORION is transforming the pickup and delivery operations at UPS.

Suggested Citation

  • Chuck Holland & Jack Levis & Ranganath Nuggehalli & Bob Santilli & Jeff Winters, 2017. "UPS Optimizes Delivery Routes," Interfaces, INFORMS, vol. 47(1), pages 8-23, February.
  • Handle: RePEc:inm:orinte:v:47:y:2017:i:1:p:8-23
    DOI: 10.1287/inte.2016.0875
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    References listed on IDEAS

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    1. Stefan Ropke & David Pisinger, 2006. "An Adaptive Large Neighborhood Search Heuristic for the Pickup and Delivery Problem with Time Windows," Transportation Science, INFORMS, vol. 40(4), pages 455-472, November.
    2. Ilgaz Sungur & Yingtao Ren & Fernando Ordóñez & Maged Dessouky & Hongsheng Zhong, 2010. "A Model and Algorithm for the Courier Delivery Problem with Uncertainty," Transportation Science, INFORMS, vol. 44(2), pages 193-205, May.
    3. S. Lin & B. W. Kernighan, 1973. "An Effective Heuristic Algorithm for the Traveling-Salesman Problem," Operations Research, INFORMS, vol. 21(2), pages 498-516, April.
    4. L. Ingber, 1993. "Simulated annealing: Practice versus theory," Lester Ingber Papers 93sa, Lester Ingber.
    5. Chris Groër & Bruce Golden & Edward Wasil, 2009. "The Consistent Vehicle Routing Problem," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 630-643, February.
    6. Sanjeeb Dash & Oktay Günlük & Andrea Lodi & Andrea Tramontani, 2012. "A Time Bucket Formulation for the Traveling Salesman Problem with Time Windows," INFORMS Journal on Computing, INFORMS, vol. 24(1), pages 132-147, February.
    7. Ann M. Campbell & Barrett W. Thomas, 2008. "Probabilistic Traveling Salesman Problem with Deadlines," Transportation Science, INFORMS, vol. 42(1), pages 1-21, February.
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