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FedEx Generates Bid Lines Using Simulated Annealing

Author

Listed:
  • Kevin W. Campbell

    (Federal Express, 2831 Airways Boulevard, Memphis, Tennessee 38132)

  • R. Bret Durfee

    (Federal Express, 2007 Corporate Avenue, Memphis, Tennessee 38118)

  • Gail S. Hines

    (Federal Express, 2831 Airways Boulevard, Memphis, Tennessee 38132)

Abstract

We built a bid-line generator to help Federal Express perform what-if analyses of work rules during contract negotiations with ALPA, the bargaining unit for the company's pilots. The objectives were to minimize both the number of bid lines produced (a measure of required manning) and the amount of flying not assigned to bid lines (flying requirements that must be accommodated during subsequent phases of scheduling). The tool was useful in negotiations since it was automated and easily modified in-house to provide quick responses to bid line what-ifs. Using a two-step process, the tool produces a complete set of legal, flyable lines for an airplane fleet and identifies the remaining open (unscheduled) flying. First it uses simulated annealing to find as many good bid lines as possible; then it uses a greedy heuristic to complete as many more lines as possible.

Suggested Citation

  • Kevin W. Campbell & R. Bret Durfee & Gail S. Hines, 1997. "FedEx Generates Bid Lines Using Simulated Annealing," Interfaces, INFORMS, vol. 27(2), pages 1-16, April.
    • Handle: RePEc:inm:orinte:v:27:y:1997:i:2:p:1-16
    DOI: 10.1287/inte.27.2.1
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    Citations

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    Cited by:

    1. Saddoune, Mohammed & Desaulniers, Guy & Elhallaoui, Issmail & Soumis, François, 2011. "Integrated airline crew scheduling: A bi-dynamic constraint aggregation method using neighborhoods," European Journal of Operational Research, Elsevier, vol. 212(3), pages 445-454, August.
    2. Maenhout, Broos & Vanhoucke, Mario, 2010. "A hybrid scatter search heuristic for personalized crew rostering in the airline industry," European Journal of Operational Research, Elsevier, vol. 206(1), pages 155-167, October.
    3. Ioannis T. Christou & Armand Zakarian & Jun-Min Liu & Helen Carter, 1999. "A Two-Phase Genetic Algorithm for Large-Scale Bidline-Generation Problems at Delta Air Lines," Interfaces, INFORMS, vol. 29(5), pages 51-65, October.
    4. Helena R. Lourenço & José P. Paixão & Rita Portugal, 2001. "Multiobjective Metaheuristics for the Bus Driver Scheduling Problem," Transportation Science, INFORMS, vol. 35(3), pages 331-343, August.
    5. Helena Ramalhinho-Lourenço, 2005. "Teaching metaheuristics in business schools," Economics Working Papers 806, Department of Economics and Business, Universitat Pompeu Fabra.
    6. Nissen, Rüdiger & Haase, Knut, 2004. "Duty-period-based network model for airline crew rescheduling," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 581, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    7. Mohammed Saddoune & Guy Desaulniers & Issmail Elhallaoui & François Soumis, 2012. "Integrated Airline Crew Pairing and Crew Assignment by Dynamic Constraint Aggregation," Transportation Science, INFORMS, vol. 46(1), pages 39-55, February.
    8. Boubaker, Khaled & Desaulniers, Guy & Elhallaoui, Issmail, 2010. "Bidline scheduling with equity by heuristic dynamic constraint aggregation," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 50-61, January.
    9. Vahid Zeighami & François Soumis, 2019. "Combining Benders’ Decomposition and Column Generation for Integrated Crew Pairing and Personalized Crew Assignment Problems," Transportation Science, INFORMS, vol. 53(5), pages 1479-1499, September.
    10. Helena Ramalhinho-Lourenço & José Pinto & Rita Portugal, 1998. "Metaheuristics for the bus-driver scheduling problem," Economics Working Papers 304, Department of Economics and Business, Universitat Pompeu Fabra.
    11. Helena Ramalhinho-Lourenço, 2001. "Supply chain management: An opportunity for metaheuristics," Economics Working Papers 538, Department of Economics and Business, Universitat Pompeu Fabra.
    12. Atoosa Kasirzadeh & Mohammed Saddoune & François Soumis, 2017. "Airline crew scheduling: models, algorithms, and data sets," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(2), pages 111-137, June.

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