Marie Bain is the production manager at a company that manufactures hot water heaters. Marie needs a demand forecast for the next few years to help decide whether to add new production capacity. The company's sales history (in thousands of units) is shown in the table below: Period Demand 1 12 2 15 3 16 4 16 5 18 6 20 a. Use 2 year moving average to forecast the demand for periods 5 and 6. b. Use three-year weighted moving average with weight 3, 2, 1 (largest weight is for the most recent data) to forecast the demand for periods 5 and 6. c. Use exponential smoothing with smoothing constant of 0.2 to forecast the demand for periods 5 and 6, assuming the forecast for period 4 is 15. d. Usetrend-adjustedexponentialsmoothingtoforecastthedemandforperiods5and6, assuming α=0.2, β=0.4, S3=15, and T3=1. e. What is the most accurate method?
Marie Bain is the production manager at a company that manufactures hot water heaters. Marie needs a demand forecast for the next few years to help decide whether to add new production capacity. The company's sales history (in thousands of units) is shown in the table below: Period Demand 1 12 2 15 3 16 4 16 5 18 6 20 a. Use 2 year moving average to forecast the demand for periods 5 and 6. b. Use three-year weighted moving average with weight 3, 2, 1 (largest weight is for the most recent data) to forecast the demand for periods 5 and 6. c. Use exponential smoothing with smoothing constant of 0.2 to forecast the demand for periods 5 and 6, assuming the forecast for period 4 is 15. d. Usetrend-adjustedexponentialsmoothingtoforecastthedemandforperiods5and6, assuming α=0.2, β=0.4, S3=15, and T3=1. e. What is the most accurate method?
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Author:Amos Gilat
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Marie Bain is the production manager at a company that manufactures hot water heaters. Marie needs a demand forecast for the next few years to help decide whether to add new production capacity. The company's sales history (in thousands of units) is shown in the table below:
Period | Demand |
1 | 12 |
2 | 15 |
3 | 16 |
4 | 16 |
5 | 18 |
6 | 20 |
a. Use 2 year moving average to forecast the demand for periods 5 and 6.
b. Use three-year weighted moving average with weight 3, 2, 1 (largest weight is for the most
recent data) to forecast the demand for periods 5 and 6.
c. Use exponential smoothing with smoothing constant of 0.2 to forecast the demand for periods
5 and 6, assuming the forecast for period 4 is 15.
d.
Usetrend-adjustedexponentialsmoothingtoforecastthedemandforperiods5and6,
assuming α=0.2, β=0.4, S3=15, and T3=1.
e. What is the most accurate method?
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VIEWStep 2: Forecast the demand for 5 and 6 periods using 2-years moving average
VIEWStep 3: Forecast the demand for 5 and 6 periods using 3-years weighted moving average
VIEWStep 4: Forecast the period using exponential smothing
VIEWStep 5: Calculate trend adjusted exponential smothing
VIEWStep 6: What is the most accurate method
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