Assume that your stock of sales merchandise is maintained based
on the forecast demand. If the distributor's sales personnel call
on the first day of each month, compute your forecast sales by each
of the three methods requested here.
| ACTUAL | |
| June | 154 |
| July | 194 |
| August | 225 |
a. Using a simple three-month moving average, what
is the forecast for September? (Round your answer to 2
decimal places.)
b. Using a weighted moving average, what is the
forecast for September with weights of 0.30, 0.40, and 0.30 for
June, July, and August, respectively? (Do not round
intermediate calculations. Round your answer to 2 decimal
places.)
c. Using single exponential smoothing and assuming
that the forecast for June had been 142, forecast sales for
September with a smoothing constant α of 0.30. (Do
not round intermediate calculations. Round your answer to 2 decimal
places.)
Question: Assume that your stock of sales merchandise is maintained based on the forecast demand. If the distributor's sales personnel call on the first day of each month, compute your forecast sales by each of the three methods requested here.
Answer:
Forecast for September:
a. Simple Three-Month Moving Average = 191.00
b. Weighted Moving Average = 191.30
c. Exponential Smoothing = 179.58
Explanation:
a. Using a simple three-month moving average, what is the forecast for September?
Moving Average Forecast is given by:
Moving Average Forecast = (A1 + A2 + A3 + ... + An) / n
Therefore:
September Forecast = (225 + 194 + 154) / 3
September Forecast = 573 / 3
September Forecast = 191.00
b. Using a weighted moving average, what is the forecast for September with weights of 0.30, 0.40, and 0.30 for June, July, and August, respectively?
Weighted moving average is given by:
Weighted Moving Average Forecast = (W1 x A1 + W2 x A2 + ... + Wn x An)
Therefore:
September Forecast = ((0.30 x 225) + (0.40 x 194) + (0.30 x 154))
September Forecast = 191.30
c. Using single exponential smoothing and assuming that the forecast for June had been 142, forecast sales for September with a smoothing constant α of 0.30.
Given that:
α = 0.30
Ft = 142
Now:
Exponential Smoothing Forecast is given by:
Ft+1 = α x At + (1 - α) x Ft
Therefore:
July Forecast = 0.30 x 154 + (1 - 0.30) x 142 = 145.6
August Forecast = 0.30 x 194 + (1 - 0.30) x 145.6 = 160.12
September Forecast = 0.30 x 225 + (1 - 0.30) x 160.12 = 179.58
Assume that your stock of sales merchandise is maintained based on the forecast demand. If the...
National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows: Month Sales (000)Units Feb. 17 Mar. 20 Apr. 14 May. 22 Jun. 21 Jul. 25 Aug. 29 b. Forecast September sales volume using each of the following: (1) A linear trend equation.(Round your intermediate calculations and final answer to 2 decimal places.) Yt _ thousands (2) A five-month moving average. (Round your answer to 2 decimal places.) Moving average _ thousands...
Please help. Im stuck on the exponential smoothing part of this problem. Here are the actual tabulated demands for an item for a nine-month period (January through September). Your supervisor wants to test two forecasting methods to see which method was better over this period. MONTH ACTUAL January 110 February 130 March 150 April 170 May 160 June 180 July 140 August 130 September 140 a. Forecast April through September using a three-month moving average. (Round your answers to 1...
b. Forecast September sales volume using each of the following: (1) (Omitted) (2) A five-month moving average.(3) Exponential smoothing with a smoothing constant equal to .20, assuming a March forecast of 16(000).(4) The naive approach (5) A weighted average using .60 for August, .10 for July, and .30 for June.
Historical demand for a product is as follows: DEMAND April 59 May 54 June 74 July 59 August 79 September 74 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 α = 0.30 and a September forecast = 64, calculate a forecast for October. (Round your answer to 2 decimal places.) Forecast for October c. Using simple linear regression,...
Need some help with this operations management question. It'd
also be nice if you could explain how you got your answer. Thanks.
National Scan, Inc., sells radio frequency inventory tags. Monthly sales for a seven-month period were as follows: Month Feb Mar Sales (000)Units 16 15 12 May Jun Jul Aug 19 23 25 b. Forecast September sales volume using each of the following (1) A linear trend equation. (Round your intermediate calculations and final answer to 2 decimal places.)...
Problem 3-2 National Scan, Inc., sells radlo frequency Inventory tags. Monthly sales for a seven-month period were as follows: Sales Month(ee)Units Feb Mar Apr May Jun Jul Aug 2e 23 25 18 28 30 b. Forecast September sales volume using each of the folloWng: (1 A linear trend equation.(Round your Intermedlate calculatlons and final answer to 2 declmal places.) Yt thousands (2) A five-month moVing average. (Round your answer to 2 declmal places.) Moving averagehousands (3) Exponentlal smoothing with a...
Forecasts and actual sales of MP3 players at Just Say Music are as follows: Month Forecast Actual Sales March 150 170 April 220 229 May 205 192 June 256 241 July 250 238 August 260 210 September 270 225 October 280 179 Answer the following questions. a. Plot the data and provide through insights about the time series. (Use Microsoft Excel and attach the time series graph.) b. What is the forecast for November, using a two-period moving average? c....
The monthly sales for Yazici batteries were as follows on January 21, February 20, March 16, April 15.May 15,June 18,July 17,August 18, September 22, October 20, November 21, December 24. forcast for the next month (Jan) using the naive method. The forecast for the next period (Jan) using the 3-month moving approach. Using smoothing with a=0.30 and a September forecast of 18.00 the forecast for the next period (Jan) sales.
The historical demand for a product is as follows: Month Demand January 12 February 11 March 15 April 12 May 16 June 15 Stating any assumptions that you make answer the following questions. (i) Using a weighted moving average with weights of 0.60 for June; 0.30 for May and 0.10 for April, find the July forecast. (4 marks) (ii) Using a simple three-month moving average, find the July forecast. (4 marks) (iii) Using simple exponential smoothing with α=0,2 and a...
The following table contains the demand from the last 10 months: answer to all the boxes plz MONTH ACTUAL DEMAND 1 31 2 34 3 35 4 39 5 40 6 45 7 45 8 47 9 43 10 44 a. Calculate the single exponential smoothing forecast for these data using an α of 0.30 and an initial forecast (F1) of 31. (Round your intermediate calculations and answers to 2 decimal places.) Month Exponential Smoothing 1 2 3 4 5...