Question

In: Operations Management

FC.71 Five-star sells school related products. Their top seller, the five subject spiral notebook, has done...

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.)

   

Solutions

Expert Solution

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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