Operations Management Reading: Forecasting
This reading provides an introduction to forecasting methods. It includes a brief summary of methods based on judgment and a longer section on quantitative analysis. It also provides sample data so students can develop an understanding of concepts such as correlation, covariance, time-series data, moving averages, exponential smoothing, time-series decomposition, trend estimation, simple linear regression, autocorrelation, and multiple linear regression.
Interactive Illustrations in this Reading include: Distribution of Residuals, Moving Averages, Exponential Smoothing, Decomposition of Time Series Data, Correlation Coefficient, and Fitting a Regression Line. Review Questions and Exhibit Slides are available in the Supplemental Materials tab.
Interactive Illustrations in this Reading include: Distribution of Residuals, Moving Averages, Exponential Smoothing, Decomposition of Time Series Data, Correlation Coefficient, and Fitting a Regression Line. Review Questions and Exhibit Slides are available in the Supplemental Materials tab.
Citation:
Wheelwright, Steven C., and Ann B. Winslow. "Operations Management Reading: Forecasting." Core Curriculum Readings Series. Boston: Harvard Business Publishing 8042, 2013. View Details