# Soutwestern Term Project 1

Topics: 3-2-1, Challenge, Yorkshire Television Pages: 16 (1033 words) Published: December 20, 2014
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Chapter 3
SOUTHWESTERN UNIVERSITY: A
DisQ - 1)

Activity Mean
S.D.
Variance
T.a=30
3.33
11.11
T.b=60
10.00
100.00
T.c=65
8.33
69.39
T.d=55
11.66
136.10
T.e=30
1.67
2.78
T.f=0
0.10
0.00
T.g=30
1.67
2.78
T.h=20
3.33
11.11
T.i=30
6.67
44.44
T.j=10
0.67
0.44
T.k=0
0.10
0.00
T.l=30
6.67
44.44

Critical Path= A-C-D-G-H-I-L (260 Days)
Variance of critical path = 11.11 + 136.1 + 2.78 + 11.11 + 44.44 + 44.44 + = 319.37 S.D of critical path=17.87 days

DisQ - 2)
P(t< or = 270)
P(Z< or = (270-260/17.87))=P(Z< or = 0.56) = 0.712 = 71.2%

DisQ - 3)

Activity
Normal time (days)
Crash Time (days)
Crash cost/Day
A
30
20
\$1,500
B
60
20
\$3,500
C
65
50
\$4,000
D
55
30
\$1,900
E
30
25
\$9,500
F
0
0
\$0
G
30
25
\$2,500
H
20
10
\$2,000
I
30
20
\$2,000
J
10
8
\$6,000
K
0
0
\$0
L
30
20
\$4,500

The total amount that it will take for them to crash to 240 days will be \$34,000 additionally to to there original price. Chapter 4
SOUTHWESTERN UNIVERSITY: B
DisQ – 1)
We can approach this with the method of separate forecasts models for each individual game. In this situation we can clearly see that 2 games stand out in attendance then the rest. Which is the homecoming game and the fourth game of the season. Game

Model
2006 Forecast
2007 Forecast
R prime
1
Y=30,713+2,534x
48,453
50,988
0.92
2
Y=37,640+2,146x
52,660
54,806
0.90
3
Y=36,940+1,560x
47,860
49,420
0.91
4
Y=22,567+2,143x
37,567
39,710
0.88
5
Y=30,440+3,146x
52,460
55,606
0.93
total

239,000
250,530

Y = attendance
x = time

1) We can say that the revenue that can be expected in 2006=(239,000 x 20)= \$4,780,000 In 2007= (250,530 x 21) = \$5,261,130

2) As seen by the results in the calculations a few of the games that are being predicted attendance have an over the maximum for attendance. I would recommend expanding the stadium or build a new one.

Chapter 6
SOUTHWESTERN UNIVERSITY: C
1. There are lots of ways to analyze this data. We suggest getting the student to begin by considering the tools of TQM and go from there. Here we have weighted these survey data (from Table 6.5) with 4 for good and 0 for poor in Table 1 below, and then ranked them. This approach yields the data in descending order (Poor to Good) in Table 2. Then we take the open-ended questions and look at both the positive and negative responses (Table 3). Then we rank these in descending order (most negative to least negative). Table 1:

Survey Datas

Weights

Total/250

4
3
2
1
0
Total
(Average)
Parking
360
315
90
5
0
770
3.08
Entertainment
640
105
52
10
0
807
3.23
Traffic
200
255
96
52
0
603
2.41
Printed Program
264
102
196
22
0
584
2.34
Seating
180
90
230
35
0
535
2.14
Ticket Pricing
420
312
32
15
0
779
3.12
Season Ticket Plans
300
240
108
41
0
689
2.76
Food Selection
620
180
48
11
0
859
3.44
Concession Prices
64
348
116
58
0
586
2.34
Speed of Service
140
135
92
48
0
415
1.66

Table 2:

Items in Weighted Descending Order

Speed of Service
1.66
Poor
Seating
2.14

Printed Program
2.34

Concession Prices
2.34

Traffic
2.41

Season Ticket Plans
2.76

Parking
3.08

Ticket Pricing
3.12

Entertainment
3.23

Food Selection
3.44
Good

Results by Topic

Negative
Entertainment
Positive
Negative
Facilities
Positive

Entertainment
8
14
Seats

3
Student Behavior

9
Parking

2
Crowded

5
Need Sky Boxes

1

5
Other
1
1
Programs

2
Bathroom

Band
1
1
Traffic

Coach
3