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Single Factor Productivity Multifactor Productivity Error & Forecast SABIC Case

Single Factor Productivity Multifactor Productivity Error & Forecast SABIC Case

Question Description

From your data base for the last (5) months or years at your organization/ department, calculate the following:

  1. 1- Single factor productivity for the last month/year (assuming the number of units/services produced, and numbers of hours used for production or service).
  2. 2- Multifactor productivity for the last month/year (assuming the number of units/services produced, and machines cost, materials cost and capital cost for production or service)
  3. 3- The Error (difference between actual value and predicted value) (A – F) for the previous (5) months/years according to following:
    • Mean Absolute Deviation (MAD)
    • Mean Squared Error (MSE)
    • Mean Absolute Percent Error (MAPE)
  4. 4- The forecast of the sixth month/year according to the following techniques:
    • Simple Moving Average.
    • Weighted Moving Average by assuming the weights (5,4,3,2,1).
    • Exponential Smoothing by assuming (? = 0.2)


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