In: Operations Management
FC.71 Five-star sells school related products. Their top seller,
the five subject spiral notebook, has done very well. The
notebook's sales during the back-to-school season (July through
October) over the last three years are shown below:
Month | 2017 | 2018 | 2019 |
---|---|---|---|
July | 135,000 | 144,000 | 111,000 |
August | 146,000 | 154,000 | 160,000 |
September | 60,000 | 62,000 | 67,000 |
October | 65,000 | 66,000 | 59,000 |
For the five-subject notebook, Five-star's projected sales for
the 2020 back-to-school season of are 375,000. Based on the past
sales and this year's projected sales, answer the following
questions.
Given the above information and using the most appropriate
forecasting method, what should be the forecast for July 2020
sales? (Display your answer to the nearest whole
number.)
What is the forecast for August 2020 sales? (Display your answer to
the nearest whole number.)
What is the forecast for September 2020 sales? (Display your answer
to the nearest whole number.)
What is the forecast for October 2020 sales? (Display your answer
to the nearest whole number.)
Answer:
Data given in the question is as under:
Month |
2017 |
2018 |
2019 |
July |
135000 |
144000 |
111000 |
August |
146000 |
154000 |
160000 |
September |
60000 |
62000 |
67000 |
October |
65000 |
66000 |
59000 |
The most appropriate forecasting method for this situation is Multiplicative Seasonal Forecast
First calculate the total of all 4 Months of each year and then its average.
Total of Demand for 2017 = (135000+146000+60000+65000) = 406000
Average of demand for 2017 = 406000/4 = 101500
Total of Demand for 2018 = 144000+154000+62000+66000 = 426000
Average of demand for 2018 = 426000/4 = 106500
Total of Demand for 2019 = 111000+160000+67000+59000= 397000
Average of demand for 2019 = 397000/4 = 99250
Calculate the Seasonal Factor for each month of each year
Seasonal factor = Demand for particular month of same year / Average of Particular year’s months demand
Seasonal Factor for July of 2017 = Demand for July of 2017 / Average of 2017 months demand = 135000/101500= 1.33
Seasonal Factor for August of 2017 = Demand for August of 2017 / Average of 2017 months demand = 146000/101500 = 1.44
Seasonal Factor for September of 2017 = Demand for September of 2017 / Average of 2017 months demand = 60000/101500 = 0.59
Seasonal Factor for October of 2017 = Demand for October of 2017 / Average of 2017 months demand = 65000/101500 = 0.64
Similarly the factors of months for 2018 and 2019 is calculated as under:
2017 |
2018 |
2019 |
||||
Month |
Demand |
Factor 2017 |
Demand |
Factor 2018 |
Demand |
Factor 2019 |
July |
135000 |
1.33 |
144000 |
1.35 |
111000 |
1.12 |
August |
146000 |
1.44 |
154000 |
1.45 |
160000 |
1.61 |
September |
60000 |
0.59 |
62000 |
0.58 |
67000 |
0.68 |
October |
65000 |
0.64 |
66000 |
0.62 |
59000 |
0.59 |
Total |
406000 |
426000 |
397000 |
|||
Average |
101500 |
106500 |
99250 |
Calculate the Average Seasonal Factor Index of each quarter.
Average Seasonal Factor Index for July= [July Factor 2017 + July Factor 2018 + July Factor 2019]/3 = (1.33+1.35+1.12)/3 = 1.27
Average Seasonal Factor Index for August= [August Factor 2017 + August Factor 2018 + August Factor 2019]/3 = (1.44+1.45+1.61)/3 = 1.50
Average Seasonal Factor Index for September= [September Factor 2017 + September Factor 2018 + September Factor 2019]/3 = (0.59+0.58+0.68)/3 =0.62
Average Seasonal Factor Index for October= [October Factor 2017 + October Factor 2018 + October Factor 2019]/3 = (0.64+0.62+0.59)/3 = 0.62
Month |
Average Seasonal Factor Index |
July |
1.27 |
August |
1.50 |
September |
0.62 |
October |
0.62 |
Annual Demand for 2020 = 375000
Therefore, Average monthly demand for 2020= 375000/4 = 93750
a) July Demand for 2020 = Average Seasonal Factor index for July * Average monthly demand for 2020= 1.27*93750 = 118767
b) August Demand for 2020 = Average Seasonal Factor index for August* Average monthly demand for 2020= 1.50*93750 = 140516
c) September Demand for 2020 = Average Seasonal Factor index for September* Average monthly demand for 2020= 0.62*93750 = 57761
d) October Demand for 2020 = Average Seasonal Factor index for October * Average quarterly demand for 2020 = 0.62*93750 = 57955
2020 |
|
Month |
Demand |
July |
118767 |
August |
140516 |
September |
57761 |
October |
57955 |
Total |
375000 |
Average |
93750 |
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