Question

Sandy sells customized books online. He wants to forecast sales by weighting the past 3 months...

Sandy sells customized books online. He wants to forecast sales by weighting the past 3 months with more weights given to recent data. Using the data below, calculate the forecast for Sandy for months 4, 5, and 6 using weights of .3, .2, .1.   

Actual

Weighted Average (forecast)

Month 1

128

Month 2

140

Month 3

130

Month 4

154

Month 5

160

Month 6

166

Homework Answers

Answer #1

Forecast for month 4 = (0.3*Actual Demand of Month 3 + 0.2*Actual Demand of Month 2 + 0.1*Actual Demand of Month 1)/(Sum of Weight) = (0.3*130 + 0.2*140 + 0.1*128)/(0.3+0.2+0.1) = (39 + 28 + 12.8)/(0.6) = 133

Forecast for month 5 = (0.3*Actual Demand of Month 4 + 0.2*Actual Demand of Month 3 + 0.1*Actual Demand of Month 2)/(Sum of Weight) = (0.3*154+ 0.2*130+ 0.1*140)/(0.3+0.2+0.1) = (46.2 + 26 + 14)/(0.6) = 143.67

Forecast for month 6 = (0.3*Actual Demand of Month 5 + 0.2*Actual Demand of Month 4 + 0.1*Actual Demand of Month 3)/(Sum of Weight) = (0.3*160+ 0.2*154+ 0.1*130)/(0.3+0.2+0.1) = (48 + 30.8+ 13)/(0.6) = 153

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
Question 2 A supply chain analyst is analyzing past sales data. He obtained the following numbers:...
Question 2 A supply chain analyst is analyzing past sales data. He obtained the following numbers: Week Demand 1 2200 2 2100 3 2050 4 2120 5 2550 6 2340 7 2400 8 2370 9 2290 10 2020 11 2110 12 2105 13 2340 14 2410 15 2560 He thinks that three methods could be used to forecast future sales: 4-weeks simple moving average, linear regression and weighted moving average. 2.1       Using Excel, please run linear regression on this data....
Problem 1: Auto sales at Carmen’s Chevrolet are shown below. Develop a 3-week moving average. Week...
Problem 1: Auto sales at Carmen’s Chevrolet are shown below. Develop a 3-week moving average. Week Auto Sales 1 8 2 10 3 9 4 11 5 10 6 13 7 - Problem 2: Carmen’s decides to forecast auto sales by weighting the three weeks as follows: Weights Applied Period 3 Last week 2 Two weeks ago 1 Three weeks ago 6 Total Problem 3: A firm uses simple exponential smoothing with to forecast demand. The forecast for the week...
The following table gives the actual sales data and the 3-month moving average forecast. Calculate MAD,...
The following table gives the actual sales data and the 3-month moving average forecast. Calculate MAD, MSE, and MAPE for the forecast. Week Sales (cases) 3 week Moving average 1 22 2 24 3 29 4 31 5 19 6 30
The monthly sales for Yazici Batteries, Inc., were as follows: MONTH SALES January 20 February 21...
The monthly sales for Yazici Batteries, Inc., were as follows: MONTH SALES January 20 February 21 March 15 April 14 May 13 June 16 July 17 August 18 September 20 October 20 November 21 December 23 Plot the monthly sales data. Forecast January sales using each of the following: Naive method. A 3-month moving average. A 6-month weighted average using .1, .1, .1, .2, .2, and .3, with the heaviest weights applied to the most recent months. Exponential smoothing using...
The manager of a travel agency has been using a seasonally adjusted forecast to predict demand...
The manager of a travel agency has been using a seasonally adjusted forecast to predict demand for packaged tours. The actual and predicted values are as follows: Period Demand Predicted 1 135 113 2 195 200 3 155 150 4 90 102 5 85 80 6 130 135 7 125 128 8 130 124 9 95 109 10 150 150 11 105 94 12 90 80 13 125 140 14 135 128       a. Compute MAD for the fifth period,...
The manager of a travel agency has been using a seasonally adjusted forecast to predict demand...
The manager of a travel agency has been using a seasonally adjusted forecast to predict demand for packaged tours. The actual and predicted values are as follows: Period Demand Predicted 1 135 113 2 195 200 3 155 150 4 90 102 5 85 80 6 130 135 7 125 128 8 130 124 9 95 109 10 150 150 11 105 94 12 90 80 13 125 140 14 135 128       a. Compute MAD for the fifth period,...
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 sales of a particular product over the past 12 months....
The following time series shows the sales of a particular product over the past 12 months. If required, round your answer to two decimal places. Click on the datafile logo to reference the data. Month Sales Month Sales 1 105 7 145 2 135 8 140 3 120 9 100 4 105 10 80 5 90 11 100 6 120 12 110 (a) Choose the correct time series plot. (i) (ii) (iii) (iv) - Select your answer -Plot (i)Plot (ii)Plot...
A stock price has been recorded over the past 10 days.  Determine the Mean Squared Error (MSE)...
A stock price has been recorded over the past 10 days.  Determine the Mean Squared Error (MSE) over periods four to ten (inclusive) for a Weighted Moving Average (WMA) forecast using weights of 0.5, 0.4, 0.1 (with 0.5 applying to the most recent period). Day Demand 1       1,042 2       1,042 3       1,044 4       1,029 5       1,025 6       1,050 7       1,069 8       1,048 9       1,063 10       1,057 a. 11.85 b. 82.97 c....
Consider the following gasoline sales time series data. Week Sales (1000s of gallons) 1     18   ...
Consider the following gasoline sales time series data. Week Sales (1000s of gallons) 1     18    2     22    3     20    4     24    5     17    6     15    7     19    8     17    9     23    10     19    11     14    12     23    a. Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent observation, and 1/6 third the most recent observation, compute a three-week weighted moving average...