Tqm - ch.7

Cards (20)

  • is the process of projecting the values of one or more variables into the future.
    Forecasting
  • It  can result in poor inventory and staffing decisions, resulting in part shortages, inadequate customer service, and many customer
    Poor forecasting
  • in the length of time on which a forecast is based
    Planning horizon
  • is the unit of measure for the time period used in a forecast.
    Time bucket
  • is a set of observations measured at successive points in time or over successive periods of time.
    Time series
  • is the underlying pattern of growth or decline in a time series.
    Trend
  • are characterized by repeatable periods of ups and downs over short periods of time.
    Seasonal patterns
  • Are  regular pat terns in a data series that take place over long periods of time
    Cyclical patterns
  • (sometimes called noise) is the unexplained deviation of a time series from a predictable pattern such as a trend, seasonal, or cyclical pattern.
    Random variations
  • is a one-time variation that is explainable.
    Irregular variation
  • is the difference between the observed value of the time series and the forecast,
    Forecast error
  • MSE is probably the most commonly used measure of forecast accuracy. (Sometimes the square root of MSE is computed, this is called the
    Root mean square error (RMSE)
  • is based on the assumption that the future will be an extrapolation of the past
    Statiscal forecasting
  • is an average of the most recent "k" observations in a time series.
    Moving average forecast
  • is a method for building a statistical model that defines a relationship between a single dependent variable and one or more independent variables, all of which are numerical
    Regression analysis
  • A linear regression model with more than one independent variable is called
    Multiple linear regression model
  • relles upon opinions and expertise of people in developing forecasts.
    Judgemental forecasting
  • is asking those who are close to the end consumer, such as salespeople, about the customers' purchasing plans.
    Grassroot forecasting
  • consists of forecast- ing by expert opinion by gathering judgments and opinions of key personnel based on their experience and knowledge of the situation.
    Delphi method
  • provides a method for doing this by quantifying bias-the tendency of forecasts to consistently be larger or smaller than the actual values of the time series.
    Tracking signal