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Coca-Cola Enterprises Optimizes Vehicle Routes for Efficient Product Delivery

Author

Listed:
  • Goos Kant

    (ORTEC, 2800 AL Gouda, The Netherlands and Faculty of Economics and Business Administration, Tilburg University, 5000 LE Tilburg, The Netherlands)

  • Michael Jacks

    (Coca-Cola Enterprises Inc., Atlanta, Georgia)

  • Corné Aantjes

    (ORTEC USA, Six Concourse Parkway, Atlanta, Georgia 30328)

Abstract

In 2004 and 2005, Coca-Cola Enterprises (CCE)---the world's largest bottler and distributor of Coca-Cola products---implemented ORTEC's vehicle-routing software. Today, over 300 CCE dispatchers use this software daily to plan the routes of approximately 10,000 trucks. In addition to handling nonstandard constraints, the implementation is notable for its progressive transition from the prior business practice. CCE has realized an annual cost saving of $45 million and major improvements in customer service. This approach has been so successful that Coca-Cola has extended it beyond CCE to other Coca-Cola bottling companies and beer distributors.

Suggested Citation

  • Goos Kant & Michael Jacks & Corné Aantjes, 2008. "Coca-Cola Enterprises Optimizes Vehicle Routes for Efficient Product Delivery," Interfaces, INFORMS, vol. 38(1), pages 40-50, February.
    • Handle: RePEc:inm:orinte:v:38:y:2008:i:1:p:40-50
    DOI: 10.1287/inte.1070.0331
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Sanjay L. Ahire & John B. Jensen, 2017. "Snider Tire Optimizes Its Customers-Stores-Plants Transportation Network," Interfaces, INFORMS, vol. 47(2), pages 150-162, April.
    2. A A Juan & J Faulin & J Jorba & D Riera & D Masip & B Barrios, 2011. "On the use of Monte Carlo simulation, cache and splitting techniques to improve the Clarke and Wright savings heuristics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1085-1097, June.
    3. Meuffels, W.J.M., 2015. "The design of road and air networks for express service providers," Other publications TiSEM d3266cb8-bc55-41be-adc7-4, Tilburg University, School of Economics and Management.
    4. Andreas Fink & Natalia Kliewer & Dirk Mattfeld & Lars Mönch & Franz Rothlauf & Guido Schryen & Leena Suhl & Stefan Voß, 2014. "Model-Based Decision Support in Manufacturing and Service Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(1), pages 17-24, February.
    5. Hein Fleuren & Chris Goossens & Marco Hendriks & Marie-Christine Lombard & Ineke Meuffels & John Poppelaars, 2013. "Supply Chain–Wide Optimization at TNT Express," Interfaces, INFORMS, vol. 43(1), pages 5-20, February.
    6. Emrah Demir & Tom Van Woensel & Ton de Kok, 2014. "Multidepot Distribution Planning at Logistics Service Provider Nabuurs B.V," Interfaces, INFORMS, vol. 44(6), pages 591-604, December.
    7. Anuj Mittal & Caroline C. Krejci & Teri J. Craven, 2018. "Logistics Best Practices for Regional Food Systems: A Review," Sustainability, MDPI, vol. 10(1), pages 1-44, January.
    8. Angel Juan & Javier Faulin & Albert Ferrer & Helena Lourenço & Barry Barrios, 2013. "MIRHA: multi-start biased randomization of heuristics with adaptive local search for solving non-smooth routing problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(1), pages 109-132, April.
    9. Haoyuan Hu & Ying Zhang & Jiangwen Wei & Yang Zhan & Xinhui Zhang & Shaojian Huang & Guangrui Ma & Yuming Deng & Siwei Jiang, 2022. "Alibaba Vehicle Routing Algorithms Enable Rapid Pick and Delivery," Interfaces, INFORMS, vol. 52(1), pages 27-41, January.
    10. Rodrigo Linfati & Fernando Yáñez-Concha & John Willmer Escobar, 2022. "Mathematical Models for the Vehicle Routing Problem by Considering Balancing Load and Customer Compactness," Sustainability, MDPI, vol. 14(19), pages 1-20, October.

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