MIS614 Unit 6 Case Study Doc
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Information Systems
Date
Apr 3, 2024
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docx
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Unit 6: Knowledge and Skills Case Study
Stephen Hill
Park University
MIS614 Unit 6
02/19/2023
1.
Use simple linear regression to forecast the demand for the next year. Round your forecast to the nearest one thousand units (e.g., if your forecast is 12,303, round to 12,000 for use for the next question.
Just Sports
Slope=
X
7
−
X 1 =
7
−
1
=−
0.0244
Y 7
−
Y 1
20500
−
45000
Where the equation of a simple line is given by
y
=
mx +
c
(Hope, 2020).
20500
=(−
0.0244
∗
7
)+
c
c
=
20502
y
=(−
0.0244
∗
8
)+
20502
y
8
=
20410
Sports'N Stuff
Slope=
X
7
−
X 1 =
7
−
1
=
0.0005263
Y 7
−
Y 1
49400
−
38000
Where the equation of a simple line is given by
y
=
mx +
c
49400
=(
0.0005263
∗
7
)+
c
c
=
49399.996
y
=(
0.0005263
∗
8
)+
49399.996
y
8
=
49400
The Sports Dude
Slope=
X
7
−
X 1 =
7
−
1
=
0.0001775
Y 7
−
Y 1
65400
−
31600
Where the equation of a simple line is given by
y
=
mx +
c
65400
=(
0.0001775
∗
7
)+ c c
=
65399.99
y
=(
0.0001775
∗
8
)+
65399.99
y
8
=
65400
2.
Plot regression model (trend lines) on scatter plots for each retailer.
The plot shows a declining trend for Just Sports.
The plot shows an increasing trend for Sports’ N’ Stuff
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The plot illustrates an increasing trend for The Sports Dude 3.
Using the demand prediction construct a What-if spreadsheet in Excel to describe the shipping and processing costs if the number of skateboards to be produced in each factory, the number of skateboards then to be shipped to each DC and the number of shipped skateboards to each retailer is given.
Shipping Plan
From/To
IO
ML
ID
AR
Total
Capacity
Detroit
150
200
0
0
350
350
Los Angeles
200
0
150
0
350
350
Austin
150
0
0
500
650
700
TOTAL IN
500
200
150
500
TO/ FROM
IO
ML
ID
AR
Total
Capacity
JS
0
200
0
0
200
200
SN
0
0
0
500
500
500
SD
500
0
150
0
650
650
TOTAL OUT
500
200
150
500
When you change the value of cell $C$12 to 80 and do the optimization function, the total cost become $79,250.
The value of cost per week is computed as
$ 40000
= $
800
50
The value of cost saving per week is computed as
$ 79,625
−
$ 79,250
=
$ 375
In this case, the savings are less than the investment. Therefore, the plan is rendered not viable.
4.
Solve the linear programming model using Solver Add-in in Excel. In your report include the following:
A.
All the optimization variables listed in 3.
B.
What is the total cost of shipping and processing?
C.
Which factories are planned to use all of their capacity?
D.
Which distribution centers will use all of their capacity?
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