Moving Toward an Integrated Decision Support System for Manpower Planning at Continental Airlines: Optimization of Pilot Training Assignments

  • Gang Yu
  • Stacy Dugan
  • Mike Argüello
Part of the Applied Optimization book series (APOP, volume 16)

Abstract

Manpower planning and deployment is one of the most important and challenging issues faced by management in today’s industry. This is particularly true in technology-driven industries such as the airline industry. Optimal long-term planning and daily management of crew resources are critical to the operational success of airlines. Due to the complexities associated with generating staffing plans which comply with business requirements and the multitude of data processing necessary to determine compliance with revenue-enhancing business opportunities, the application of an integrated decision support system is paramount to attain optimal operational and financial performance. In this paper, we discuss an integrated decision support system for manpower planning, and in particular, we layout a mathematical framework for a pilot training assignment module. A prototype based on heuristic solutions of this model has demonstrated over $6 million in annual savings for Continental Airlines due to better pilot training assignments alone. Based on a conservative estimate, an integrated DSS will save Continental over $10 million annually.

Keywords

Business Plan Destination Position Limit Version Training Schedule Flight Attendant 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [1]
    T. Aykin, 1996, Optimal Shift Scheduling with Multiple Break Windows, Management Science, 42, 591–602.CrossRefGoogle Scholar
  2. [2]
    K. Baker, 1974, Scheduling a Full-Time Workforce to Meet Cyclic Staffing Requirements, Management Science, 20, 1561–1568.CrossRefGoogle Scholar
  3. [3]
    W.S. Brownell and J.M. Lowerre, 1976, Scheduling of Work Forces Required in Continuous Operations under Alternative Labor Policies, Management Science, 22, 597–605.CrossRefGoogle Scholar
  4. [4]
    M.J. Brusco and L.W. Jacobs, 1993, A Simulated Annealing Approach to the Cyclic Staff-Scheduling Problem, Naval Research Logistics Quarterly, 40, 69–84.CrossRefGoogle Scholar
  5. [5]
    R.N. Burns and M.W. Carter, 1985, Workforce Size and Single Shift Schedules with Variable Demands, Management Science, 31, 599–607.CrossRefGoogle Scholar
  6. [6]
    R.N. Burns and G.J. Koop, 1987, A Modular Approach to Optimal Multiple-Shift Manpower Scheduling, Operations Research, 35, 100–110.CrossRefGoogle Scholar
  7. [7]
    B. Faaland and T. Schmitt, 1993, Cost-based Scheduling of Workers and Equipment in a Fabrication and Assembly Shop, Operations Research, 41, 253–268.CrossRefGoogle Scholar
  8. [8]
    F. Glover, C. McMillan, and R. Grover, 1984, A Heuristic Programming Approach to the Employee Scheduling Problem and Some Thoughts on `Managerial Robots,’ Journal of Operations Management, 4, 113–128.CrossRefGoogle Scholar
  9. [9]
    R.C. Grinold and K.T. Marshall, 1977, Manpower Planning Models, Elsevier North-Holland, Inc., New York, NY.Google Scholar
  10. [10]
    E.G., Keith, 1979, Operator Scheduling, AILE Transactions, 11, 37–41.Google Scholar
  11. [ll]
    P.S. Park and P.M. Bobrowski, 1989, Job Release and Labor Flexibility in a Dual Resource Constrained Job Shop, Journal of Operations Management, 8, 230–249.CrossRefGoogle Scholar
  12. [12]
    M. Segal, 1974, The Operator-Scheduling Problem: A Network Flow Approach, Operations Research, 22, 808–823.CrossRefGoogle Scholar
  13. [13]
    P.E. Taylor and J. Huxley, 1989, A Break from Tradition for the San Francisco Police: Patrol Officer Scheduling Using an Optimization based Decision Support System, Interfaces 19, 4–24.CrossRefGoogle Scholar
  14. [14]
    M.D. Treleven and D.A. Elvers, 1985, An Investigation of Labor Assignment Rules in Dual Constrained Job Shop, Journal of Operations Management, 6, 51–68.CrossRefGoogle Scholar
  15. [15]
    G. Yu, L. Zhou, P. Brockett, and S. Nielsen, 1996, A Network Model for the Navy’s Awaiting Instruction Problem, Research Report, Center for Management of Operations and Logistics, The University of Texas at Austin.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1998

Authors and Affiliations

  • Gang Yu
    • 1
  • Stacy Dugan
    • 2
  • Mike Argüello
    • 2
    • 3
  1. 1.Department of Management Science and Information Systems and Center for Management of Operations and LogisticsThe University of Texas at AustinAustinUSA
  2. 2.CALEB Technologies Corp.AustinUSA
  3. 3.Center for Management of Operations and LogisticsThe University of Texas at AustinAustinUSA

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