Question

In: Operations Management

A company has the following history of sales for an item. Month       Sales Volume Jan.             ...

A company has the following history of sales for an item.

Month       Sales Volume

Jan.              120

Feb.                90

Mar.             100

Apr.               75

May             110

Jun.                50

Jul.                 75

Aug.             130

Sep.              110

Oct.              90

Compute the monthly demand forecast for April through November using a 3-month moving average. Compute the monthly demand forecast for June through November using a 5-month moving average. Compute the monthly demand forecast for April through November using a 3-month weighted moving average. Use weights of 0.5, 0.33, and 0.17, with the heavier weights on the more recent months. Compute the mean absolute deviation (MAD) for June through October for each of the methods used. Which method would you use to forecast demand for November?

Solutions

Expert Solution

3-month moving average: It is calculated by the average of the sales volumes of the previous 3 months

So, the 3-month moving average of April = (Sales Volume of Jan + Sales Volume of Feb + Sales Volume of March) / 3

The 3-month moving average from April to November is calculated below:

Month Sales Volume 3-month moving average
Jan 120
Feb 90
Mar 100
Apr 75 103.33
May 110 88.33
Jun 50 95
Jul 75 78.33
Aug 130 78.33
Sep 110 85
Oct 90 105
Nov 110

5-month moving average: It is calculated by the average of the sales volumes of the previous 5 months

So, the 5-month moving average of June = (Sales Volume of Jan + Sales Volume of Feb + Sales Volume of March Sales Volume of April + Sales Volume of May) / 5

The 5-month moving average from June to November is calculated below:

Month Sales Volume 5-month moving average
Jan 120
Feb 90
Mar 100
Apr 75
May 110
Jun 50 99
Jul 75 85
Aug 130 82
Sep 110 88
Oct 90 95
Nov 91

3-month weighted moving average: It is calculated by below formula

The 3-month weighted moving average of April = ((Sales Volume of Jan x Weight of Jan)+ (Sales Volume of Feb x Weight of Feb) + (Sales Volume of March x Weight of March) / (Total Weight)

The weights are 0.5, 0.33 and 0.17, and the highest weight shall be allocated to the most recent months.

So in the above formula, the Weight of March shall be 0.5, Weight of Feb shall be 0.33 and Weight of Jan shall be 0.17.

Also, Total weight = 0.5 + 0.33 + 0.17 = 1

The 3-month weighted moving average from April to November is calculated below:

Month Sales Volume 3-month Weighted moving average
Jan 120
Feb 90
Mar 100
Apr 75 100.1
May 110 85.8
Jun 50 96.75
Jul 75 74.05
Aug 130 72.7
Sep 110 98.25
Oct 90 110.65
Nov 103.4

Mean Absolute Deviation:

Mean Absolute Deviation is calculated as the average value of absolute errors(Sales - Forecast) for all months.

So, for 3-month moving average:

Month Sales Volume 3-month moving average Error Absolute Error
Jan 120
Feb 90
Mar 100
Apr 75 103.33 -28.33 28.33
May 110 88.33 21.67 21.67
Jun 50 95 -45.00 45.00
Jul 75 78.33 -3.33 3.33
Aug 130 78.33 51.67 51.67
Sep 110 85 25.00 25.00
Oct 90 105 -15.00 15.00
Nov 110

MAD = (28.33 + 21.67 + 45 + 3.33 + 51.67 + 25 + 15) / 7 = 190 / 7 = 27.17

For 5-month moving average:

Month Sales Volume 5-month moving average Error Absolute Error
Jan 120
Feb 90
Mar 100
Apr 75
May 110
Jun 50 99 -49 49
Jul 75 85 -10 10
Aug 130 82 48 48
Sep 110 88 22 22
Oct 90 95 -5 5
Nov 91

MAD = ( 49 + 10 + 48 + 22 + 5 ) / 5 = 134 / 5 = 26.8

For 3-month weighted moving average:

Month Sales Volume 3-month Weighted moving average Error Absolute Error
Jan 120
Feb 90
Mar 100
Apr 75 100.1 -25.1 25.1
May 110 85.8 24.2 24.2
Jun 50 96.75 -46.75 46.75
Jul 75 74.05 0.95 0.95
Aug 130 72.7 57.3 57.3
Sep 110 98.25 11.75 11.75
Oct 90 110.65 -20.65 20.65
Nov 103.4

MAD = ( 25.1 + 24.2 + 46.75 + 0.95 + 57.3 + 11.75 + 20.65) / 7 = 186.7 / 7 = 26.67

For forecasting the demand for November, I would use the 3-month weighted average method. This method considers the sales volume for 3 months and also gives more weightage to recent months. The 3-month moving average just considers the average of 3 months and doesn't give any weightage to months. The 5-month moving average considers a broader range ie 5 months, which may not be very accurate to forecast and also doesn't give any weightage to months.

Due to the above reasons, I would use the 3-month weighted average.


Related Solutions

ABC Company has the following projected sales: Month      Sales Jan         $5,000 Feb         $14,000...
ABC Company has the following projected sales: Month      Sales Jan         $5,000 Feb         $14,000 Mar         $27,000 Apr         $56,000 14% of the sales are collected in the same month. 26% of the sales are collected after one month, 42% of the sales are collected after two months, and the remainder are collected after three month. What is the amount of the April collections? Enter your answer rounded off to two decimal points. Do not enter $ or...
The following data relate to the sales of a product over an 8-month period: MONTH Jan...
The following data relate to the sales of a product over an 8-month period: MONTH Jan Feb Mar Apr May June July Aug Sales (units) 56 72 70 65 68 75 66 67 Price ($) 75 65 59 69 69 49 59 59 a) Investigate whether sales are affected more by the level of price or by the change in price of the product. b) Interpret the regression coefficient of the explanatory variable. c) Forecast sales in September if price...
1.) A company is producing a product that has the following data: volume of sales per...
1.) A company is producing a product that has the following data: volume of sales per year = 3 00,000 units selling price per unit = $10 0 variable cost = $6 0 per unit fixed costs per year = $6 00,000 book depreciation = $4 00,000 tax depreciation = $50 0,000 debt interest = $1 00,000 tax rate = 40% With the above data determine (a) Before - tax profit (b) After - tax profit (c) Break - even...
​Tuscarora, Inc., a merchandising​ company, has the following budgeted​ figures: Jan Feb Mar April Sales ​$57,300...
​Tuscarora, Inc., a merchandising​ company, has the following budgeted​ figures: Jan Feb Mar April Sales ​$57,300 ​$60,000 ​$83,000 ​$98,000 Cost of goods sold ​50% of sales Required ending inventory ​$10,000 +​ 30% of next​ month's sales Inventory on hand on Jan 1 ​$30,000 Calculate the budgeted purchases for the month of January. A. ​$28,000 B. ​$26,650 C. ​$650 D. ​$56,650
Tuscarora, Inc., a merchandising​ company, has the following budgeted​ figures: Jan Feb Mar April Sales $54,000.00...
Tuscarora, Inc., a merchandising​ company, has the following budgeted​ figures: Jan Feb Mar April Sales $54,000.00 $69,000.00 $86,000.00 $95,000.00 Cost of goods sold 50​% of sales Required ending inventory $10,000.00 ​+ 20​% of next​ month's sales Inventory on hand on Jan 1 $27,500.00 Calculate the budgeted purchases for the month of January. A. $50,800.00 B. $23,300.00 C. $3,200.00 D. $23,800.00 Nyree Company is preparing its budget for the third quarter. The cash balance on June 30 was $32,000.00. Additional budgeted...
The table below shows monthly beer sales at Gordon’s Liquor Store in 2017. Month Sales Jan...
The table below shows monthly beer sales at Gordon’s Liquor Store in 2017. Month Sales Jan 900 Feb 725 Mar 1000 Apr 800 May 750 Jun 1200 Jul 1000 Aug 1100 Sep 1250 Oct 1050 Nov 1400 Dec 1600 Jan Forecast beer sales needed for January 2018 using an exponential smoothing method α = 0.2, α = 0.4 and α = 0.9 Plot the data and identify the method to forecast the beer sales
Suppose a company has the following sales for the last six months (January – June): Month...
Suppose a company has the following sales for the last six months (January – June): Month Period Sales January 1 16 February 2 25 March 3 20 April 4 20 May 5 31 June 6 35 July 7 26 August 8 (a) Use exponential smoothing (a= 0.10) to forecast the sales for August (to 2 decimals). What is the value? Compute the MSE for the exponential smoothing method from the above question (to 2 decimals). Use a 2-period moving average...
Company X has the following income statement for the month ending September. Sales                            &nbs
Company X has the following income statement for the month ending September. Sales                                                                42,000 Cost of Goods Sold:                                           Beginning Inventory                                         6,000 Purchases                                                        37,800 Cost of Goods Available for sale                    43,800 Less: Ending Inventory                                  (14,400) Cost of Goods Sold                                        29,400              Gross Profit                                                    12,600 Operating Expenses                                        10,500 Operating Profit                                              2,100 Sales are made on credit and collected as follows: 60 per cent in the month after the sale is made and 35 per cent in the second month after the sale Purchases and Operating Expenses are paid as follows: 80 per...
The Cambridge Company has budgeted sales revenues as follows. Jan Feb Mar__ Credit sales $45,000 $36,000...
The Cambridge Company has budgeted sales revenues as follows. Jan Feb Mar__ Credit sales $45,000 $36,000 $27,000 Cash sales 27,000 76,500 58,500 Total sales $72,000 $112,500 $85,500 Past experience indicates that 60% of the credit sales will be collected in the month of sale and the remaining 40% will be collected in the following month. Purchases of inventory are all on credit; 40% is paid in the month of purchase and 60% in the month following purchase. Budgeted inventory purchases...
2. Table below shows monthly beer sales at Gordon’s Liquor Store in 2017. Month Sales Jan...
2. Table below shows monthly beer sales at Gordon’s Liquor Store in 2017. Month Sales Jan 900 Feb 725 Mar 1000 Apr 800 May 750 Jun 1200 Jul 1000 Aug 1100 Sep 1250 Oct 1050 Nov 1400 Dec 1600 Jan a) Forecast beer sales needed for January 2018 using an exponential smoothing method α = 0.2, α = 0.4 and α = 0.9 b) Compute an adjusted exponential smoothing for the data using: α = 0.3 and β = 0.5,...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT