• DocumentCode
    1225281
  • Title

    Vehicle fleet planning the road transportation industry

  • Author

    Couillard, Jean ; Martel, Alain

  • Author_Institution
    Dept. of Manage. Sci. & Inf. Syst., Ottawa Univ., Ont., Canada
  • Volume
    37
  • Issue
    1
  • fYear
    1990
  • fDate
    2/1/1990 12:00:00 AM
  • Firstpage
    31
  • Lastpage
    36
  • Abstract
    Planning the composition of a vehicle fleet in order to satisfy transportation service demands is an important resource management activity for any trucking company. Its complexity is such, however, that formal fleet management cannot be done adequately without the help of a decision support system. An important part of such a system is the generation of minimal discounted cost plans covering the purchase, replacement, sale, and/or rental of the vehicles necessary to deal with a seasonal stochastic demand. A stochastic programming model is formulated to address this problem. It reduces to a separable program based on information about the service demand, the state of the current fleet, and the cash flows generated by an acquisition/disposal plan. An efficient algorithm for solving the model is also presented. The discussion concerns the operations of a number of Canadian road carriers
  • Keywords
    management; stochastic programming; transportation; Canadian road carriers; decision support system; fleet management; minimal discounted cost plans; resource management; road transportation industry; stochastic programming model; trucking company; vehicle fleet planning; Costs; Decision support systems; Demand forecasting; Economic forecasting; Marketing and sales; Refining; Resource management; Road transportation; Road vehicles; Stochastic systems;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/17.45262
  • Filename
    45262