Question

Actual demand for a product for the past three months was Three months ago 404 units...

Actual demand for a product for the past three months was

Three months ago 404 units
Two months ago 355 units
Last month 326 units

a. Using a simple three-month moving average, make a forecast for this month. (Round your answer to the nearest whole number.)

b. If 380 units were actually demanded this month, what would your forecast be for next month, again using a 3-month moving average? (Round your answer to the nearest whole number.)

c. Using simple exponential smoothing, what would your forecast be for this month if the exponentially smoothed forecast for three months ago was 458 units and the smoothing constant was 0.20? (Round your answer to the nearest whole number.)

Homework Answers

Answer #1

Solution:

(a) Three-month moving average: (This month)

This month forecast = Sum of Actual demand (Last month + Two months ago + Three months ago) / 3

This month forecast = (326 + 355 + 404) / 3

This month forecast = 361.67 or 362 (Rounding off to the nearest whole number)

This month forecast = 362 units

(b) Three-month moving average: (Next month)

Next month forecast = Sum of Actual demand (This month + Last month + Two months ago) / 3

Next month forecast = (380 + 326 + 355) / 3

Next month forecast = 353.67 or 354 (Rounding off to the nearest whole number)

Next month forecast = 354 units

(c) Simple exponential smoothing:

In exponential smoothing,

F(t+1) = c A(t) + (1-c)F(t)

where,

F(t+1) = Forecast for the next period

A(t) = Actual demand for the current period

F(t) = Forecast for the current period

c = Smoothing constant

c = 0.20

(1-c) = 0.80

Using exponential smoothing, forecast for this month is calculated as below:

This month forecast = 467.34 or 467 (Rounding off to the nearest whole number)

This month forecast = 467 units

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The following times series shows the demand for a particular product over the past 10 months....
The following times series shows the demand for a particular product over the past 10 months. Month Value 1 324 2 311 3 303 4 314 5 323 6 313 7 302 8 315 9 312 10 326 a. Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE, MAPE and a forecast for month 11. b. Calculate MSE and MAPE for three month moving average ? c. Compare the three-month moving average forecast...
The following time series shows the number of units of a particular product sold over the...
The following time series shows the number of units of a particular product sold over the past six months. Month Units Sold 1 9 2 4 3 5 4 6 5 13 6 11 ​a. Compute the three-month moving average forecast for month 4. b. Compute the three-month moving average forecast for month 5. c. Compute the three-month moving average forecast for month 6. d. Compute the mean squared error (MSE) for the three-month moving average forecasts. e. Use α...
Historical demand for a product is as follows: DEMAND   April 58          May 54          June...
Historical demand for a product is as follows: DEMAND   April 58          May 54          June 74          July 58          August 76          September 73        a. Using a simple four-month moving average, calculate a forecast for October. (Round your answer to 2 decimal places.)   Forecast for October    b. Using single exponential smoothing with ? = 0.10 and a September forecast = 61, calculate a forecast for October. (Round your answer to 2 decimal places.)   Forecast for October...
The following tabulations are actual sales of units for six months and a starting forecast in...
The following tabulations are actual sales of units for six months and a starting forecast in January. ACTUAL FORECAST January 116 96 February 112 March 115 April 88 May 82 June 112 a. Calculate forecasts for the remaining five months using simple exponential smoothing with α = 0.3. b. Calculate the MAD for all the forecasts, including January's. (Round your answer to 1 decimal place.)
Consider the following data: Monthly Profit of a Gym Month Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12...
Consider the following data: Monthly Profit of a Gym Month Jan-12 Feb-12 Mar-12 Apr-12 May-12 Jun-12 Jul-12 Aug-12 Sep-12 Profit ($) 6,150 5,903 5,304 5,077 5,320 5,998 7,419 6,299 6,012 Step 1 of 5: Determine the three-period moving average for the next time period. If necessary, round your answer to one decimal place. Step 2 of 5: What are the MAD, MSE and MAPE scores for the three-period moving average? Round any intermediate calculations, if necessary, to no less than...
1) Calculate a three period moving average forecast for the months of July, August, and September...
1) Calculate a three period moving average forecast for the months of July, August, and September 2011. Using the observed data and your forecasted values, calculate the MAPE for this forecasting method over those three months. Select the correct answer from the list given. 0.8% 2.6% 5.7% 7.9% 9.3% 27.9% 2) Given this data, what forecasting method would be best to use to forecast the unemployment rate in January 2012? Weighted moving average Three-period moving average Five-period moving average Simple...
(b) Develop the three-week moving average forecasts for this time series. (Round your answers to two...
(b) Develop the three-week moving average forecasts for this time series. (Round your answers to two decimal places.) Week Time Series Value Forecast 1 16 2 11 3 13 4 10 5 14 6 12 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for week 7? (c) Use α = 0.2 to compute the exponential smoothing forecasts for the time series. Week Time Series Value Forecast 1 16 2 11 3 13 4...
Month 1 2 3 4 5 6 7 Value 25 14 21 13 20 24 16...
Month 1 2 3 4 5 6 7 Value 25 14 21 13 20 24 16 (b) Develop the three-month moving average forecasts for this time series. Month Time Series Value Forecast 1 25 2 14 3 21 4 13 5 20 6 24 7 16 Compute MSE. (Round your answer to two decimal places.) MSE = What is the forecast for month 8? (c) Use α = 0.2 to compute the exponential smoothing forecasts for the time series. (Round...
Consider the following time series data. Month 1 2 3 4 5 6 7 Value 22...
Consider the following time series data. Month 1 2 3 4 5 6 7 Value 22 11 18 10 17 21 13 A) What type of pattern exists in the data? The data appear to follow a seasonal pattern. The data appear to follow a trend pattern.     The data appear to follow a horizontal pattern. The data appear to follow a cyclical pattern. B) Develop the three-month moving average forecasts for this time series. Month Time Series Value Forecast 1...
The values of Alabama building contracts (in millions of dollars) for a 12-month period are as...
The values of Alabama building contracts (in millions of dollars) for a 12-month period are as follows. Click on the datafile logo to reference the data. 240 350 230 260 280 320 220 310 240 310 240 230 (b) Compare a three-month moving average forecast with an exponential smoothing forecast for α = 0.2. Which provides the better forecasts based on MSE? Do not round your interim computations and round your final answers to two decimal places. Three-Month Moving Average...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT