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A fuel distribution knowledge-based decision support system

Author

Listed:
  • Nussbaum, M.
  • Sepulveda, M.
  • Cobian, A.
  • Gaete, J.
  • Parra, E.
  • Cruz, J.

Abstract

This paper reports the experience of solving the distribution problem for the biggest fuel company in Chile. A planning, execution and control system for fuel distribution was developed. It employs a knowledge-based approach that utilizes a graphical user interface which mimics the mental model of the user. An automatic scheduler solves the Capacity Vehicle Routing Problem. The solution can be manually modified so verifying system consistency. The system is running throughout the country, 13 sites, having a positive impact on the three types of player. Plant managers have increased fleet efficiency and customers receive a higher quality service. Finally, the central administration obtains a report once a month from each of the plants that allows the strong and weak aspects of each site to be analyzed.

Suggested Citation

  • Nussbaum, M. & Sepulveda, M. & Cobian, A. & Gaete, J. & Parra, E. & Cruz, J., 1997. "A fuel distribution knowledge-based decision support system," Omega, Elsevier, vol. 25(2), pages 225-234, April.
    • Handle: RePEc:eee:jomega:v:25:y:1997:i:2:p:225-234
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    References listed on IDEAS

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    1. Zanakis, Stelios H. & Evans, James R. & Vazacopoulos, Alkis A., 1989. "Heuristic methods and applications: A categorized survey," European Journal of Operational Research, Elsevier, vol. 43(1), pages 88-110, November.
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    5. Miguel Nussbaum & Eduardo A. Parra, 1993. "A Production Scheduling System," INFORMS Journal on Computing, INFORMS, vol. 5(2), pages 168-181, May.
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    Cited by:

    1. Furkan Uzar, M. & Çatay, Bülent, 2012. "Distribution planning of bulk lubricants at BP Turkey," Omega, Elsevier, vol. 40(6), pages 870-881.
    2. Day, Jamison M. & Daniel Wright, P. & Schoenherr, Tobias & Venkataramanan, Munirpallam & Gaudette, Kevin, 2009. "Improving routing and scheduling decisions at a distributor of industrial gasses," Omega, Elsevier, vol. 37(1), pages 227-237, February.

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