Five Seasons Case Five Seasons is a manufacturer of all weather shoes. The company is particularly interested in monitor
Posted: Mon May 09, 2022 12:17 pm
Five Seasons Case
Five Seasons is a manufacturer of all weather shoes. The company
is particularly interested in monitoring the sales profile of one
of its best-selling product families, the waterproof boots. In
Table 1.1 the profile of the bimonthly sales registered for this
item in the last three years is reported. Please note that, given
the extremely special features of the concerned product, no sales
are recorded in July and August – hence data are grouped in five
bimonthly periods every year.
Table 1.1 – the bimonthly demand of waterproof boots (pair
of boots/two months)
2013_01
2013_02
2013_03
2013_04
2013_05
1,230
2,140
3,210
1,300
1,080
2014_01
2014_02
2014_03
2014_04
2014_05
1,220
2,140
3,290
1,400
1,350
2015_01
2015_02
2015_03
2015_04
2015_05
1,250
2,800
3,560
1,450
1,120
Applying the time-series forecasting static method, please
identify:
Notwithstanding the demand profile recorded in the last three
years, the company is not 100% confident in the reliability of the
sales history for the future potential demand of 2016. What tools
and techniques could the company employ for supporting the
generation of reliable forecasts for the next year in conditions of
growing uncertainty?
SHOW ALL WORKING , STEP BY STEP
Five Seasons is a manufacturer of all weather shoes. The company
is particularly interested in monitoring the sales profile of one
of its best-selling product families, the waterproof boots. In
Table 1.1 the profile of the bimonthly sales registered for this
item in the last three years is reported. Please note that, given
the extremely special features of the concerned product, no sales
are recorded in July and August – hence data are grouped in five
bimonthly periods every year.
Table 1.1 – the bimonthly demand of waterproof boots (pair
of boots/two months)
2013_01
2013_02
2013_03
2013_04
2013_05
1,230
2,140
3,210
1,300
1,080
2014_01
2014_02
2014_03
2014_04
2014_05
1,220
2,140
3,290
1,400
1,350
2015_01
2015_02
2015_03
2015_04
2015_05
1,250
2,800
3,560
1,450
1,120
Applying the time-series forecasting static method, please
identify:
Notwithstanding the demand profile recorded in the last three
years, the company is not 100% confident in the reliability of the
sales history for the future potential demand of 2016. What tools
and techniques could the company employ for supporting the
generation of reliable forecasts for the next year in conditions of
growing uncertainty?
SHOW ALL WORKING , STEP BY STEP