Question: Scenario You have been given a task to create a demand forecast for the second year of sales of a premium outdoor grill. Accurate forecasts
Scenario
You have been given a task to create a demand forecast for the second year of sales of a premium outdoor grill. Accurate forecasts are important for many reasons, including for the company to ensure they have the materials they need to create the products required in a certain period of time. Your objective is to minimize the forecast error, which will be measured using the Mean Absolute Percentage Error MAPE with a goal of being below
You have historical monthly sales data for the past year and access to software that provides forecasts based on five different forecasting techniques NaveMonth Moving Average, Exponential Smoothing for Exponential Smooth for and Seasonal to help determine the best forecast for that particular month. Based on the given data, you will identify trends and patterns to create a more accurate forecast.
Approach
Consider the previous month's forecast to identify which technique is most effective. Use that to forecast the next month.
Remember to select the forecasting technique that produces the forecast error nearest to zero. For example:
a Naive Forecast is and the Forecast Error is
bMonth Moving Forecast is and the Forecast Error is
c Exponential Smoothing Forecast for is and the Forecast Error is
d Exponential Smoothing Forecast for is and the Forecast Error is
e Seasonal Forecast is and the Forecast Error is
The forecast for the next month would be as the Nave Forecast had the Forecast Error closest to zero with a This forecasting technique was the best performing technique for that month. You do not need to do any external analysisthe forecast error for each strategy is already calculated for you in the tables below. Year
begintabularccccccccccccc
hline AN & & & & & & & & & & & &
hline EB & & & & & & & & & & & &
hline MAR & & & & & & & & & & & &
hline APR & & & & & & & & & & & &
hline UAY & & & & & & & & & & & &
hline UN & & & & & & & & & & & &
hline JUL & & & & & & & & & & & &
hline UG & & & & & & & & & & & &
hline iEPT & & & & & & & & & & & &
hline JCT & & & & & & & & & & & &
hline vOV & & & & & & & & & & & &
hline JEC & & & & & & & & & & & &
hline
endtabular
Year
begintabularccccccccccccc
hline AN & & & & & & & & & & & &
hline EB & & & & & & & & & & & &
hline AR & & & & & & & & & & & &
hline APR & & & & & & & & & & & &
hline
endtabular
Activity : Year Forecast
Activity : Forecast Technique Analysis
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