Question 2 (Answer all questions)
The following gives the number of pints of ty...
May 7, 2024
Solution by Steps
step 1
To forecast the demand using a 3-week moving average, we sum the pints used in the last three weeks and divide by 3
step 2
The pints used in the last three weeks are 381, 368, and 374
step 3
The calculation is (381+368+374)/3
step 4
Using the asksia-ll calculator, the result is 38631 pints
[question a] Answer
The forecast for the week of October 12 using a 3-week moving average is 38631 pints.
Key Concept
3-week moving average
Explanation
The 3-week moving average is calculated by summing the most recent three data points and dividing by 3.
step 1
To forecast using a 3-week weighted moving average, we multiply each of the last three weeks' pints by their respective weights and sum the results
step 2
The weights are 0.1, 0.3, and 0.6, with 0.6 being for the most recent week
step 3
The calculation is (0.1×381)+(0.3×368)+(0.6×374)
step 4
Using the asksia-ll calculator, the result is 372109 pints
[question b] Answer
The forecast for the week of October 12 using a 3-week weighted moving average is 372109 pints.
Key Concept
3-week weighted moving average
Explanation
The 3-week weighted moving average is calculated by multiplying each week's data by a weight and summing the results. The most recent data point has the highest weight.
step 1
To compute the forecast using exponential smoothing, we use the formula Ft+1=α×At+(1−α)×Ft, where Ft+1 is the forecast for the next period, At is the actual value in the current period, α is the smoothing constant, and Ft is the previous period's forecast
step 2
Given α=0.2 and the forecast for August 31 is 360, we apply the formula iteratively for each week's actual pints used
step 3
The asksia-ll calculator does not provide a direct calculation for exponential smoothing, so we cannot provide the exact forecast value for October 12
[question c] Answer
The forecast for the week of October 12 using exponential smoothing cannot be provided as the asksia-ll calculator does not support this calculation.
Key Concept
Exponential smoothing
Explanation
Exponential smoothing is a forecasting technique that applies decreasing weights to past observations, with the most recent observations having the most weight.