Staffing geographically distributed service facilities with itinerant personnel

  • Authors:

  • L. Douglas Smith;Robert M. Nauss;Robert J. Banis;Ronald Beck

  • Affiliations:

  • Center for Business and Industrial Studies, College of Business Administration, University of Missouri-St. Louis, St. Louis, MO;Center for Business and Industrial Studies, College of Business Administration, University of Missouri-St. Louis, St. Louis, MO;Center for Business and Industrial Studies, College of Business Administration, University of Missouri-St. Louis, St. Louis, MO;Statistical Analysis Center, General Headquarters, Missouri State Highway Patrol, Jefferson City, MO

  • Venue:
  • Computers and Operations Research
  • Year:
  • 2002

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Abstract

We address the problem of designing and staffing service facilities for a geographically distributed population of independent customers. Capacitated gravity models are used to represent a customer's selection of service facility. Analytical models and simulation are used to estimate service levels that would occur with alternative staffing levels and hours of operation. Integer programming is used to determine staffing patterns. We illustrate how these tools are used in concert to plan the statewide location and operation of drivers examination centers with combinations of fixed and itinerant staff.