• DocumentCode
    692494
  • Title

    Use of Statistical Control for Improved Demand Forecasting

  • Author

    Christo, E.S. ; Ferreira, M.B. ; Alonso, K.C.

  • Author_Institution
    Dept. of Production Eng., Fluminense Fed. Univ., Volta Redonda, Brazil
  • fYear
    2013
  • fDate
    8-11 Sept. 2013
  • Firstpage
    693
  • Lastpage
    698
  • Abstract
    The forecasting demand is the basis of strategic planning for production, sales and finances of any company. They are used for planning and control of production for planning productive system (long term) and the using (short term) of this system. With the increasing of the competition in the automobile market, there are, consequently, the increasing of concerning about establishing a balance between offering and demand of vehicles. Then come the need to calculate statistical predictions of future demands, which are translated into a real approximation of future events of the company in question. Thus, this work is divided in two stages: first - find out the best forecasting model (lower mean percentage of error between the actual and predicted) for the vehicle demand, second - analyze the residuals control charts of the best forecasting model so that to observe and draw the points that may be outside the control limits. The main goal is to plan the production of vehicle sales within a stipulated period and create scenarios for future periods.
  • Keywords
    automobile industry; demand forecasting; sales management; statistical analysis; strategic planning; automobile market; demand forecasting; planning productive system; residual control chart; statistical control; strategic planning; vehicle demand; vehicle sales; Control charts; Correlation; Forecasting; Mathematical model; Predictive models; Process control; forecasting demand; statistical process of control;;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on
  • Conference_Location
    Ipojuca
  • Type

    conf

  • DOI
    10.1109/BRICS-CCI-CBIC.2013.121
  • Filename
    6855930