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Management Chapter 1 Homework Upper Control Limit For Sample Ranges Lower
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Management Chapter 1 Homework Upper Control Limit For Sample Ranges Lower
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September 28, 2022
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LCLp:
0.00
EK Chemical
Part a
100
grams
100.5
grams
0.5
grams
102
grams
98
grams
Part b
Lower Tolerance Limit:
100
grams
100
grams
0.5
grams
Target W
eight:
Average W
eight:
Standard Deviati
on:
Upper Tolerance Limit:
Lower Tolerance Limit:
Target W
eight:
Average W
eight:
Standard Deviati
on:
Crawford Pharmaceuticals
100
mg
100
mg
0.25
mg
Part c
100
mg
100
mg
Target W
eight:
Average W
eight:
Target Am
ount:
Average Amount:
Standard Deviati
on:
Part b
BHC
Part a
100 pounds
101 pounds
0.65 pounds
104 pounds
96 pounds
Lower Tolerance Limit:
Target W
eight:
Average W
eight:
Standard Deviati
on:
Upper Tolerance Limit:
Part b
Central Airline
s
NO. OF LATE-
p VA
LUES
DA
Y
SA
MPLE SIZE
A
RRIVING FLIGHTS
(n = 30)
1
30
2
0.0667
2
30
3
0.1000
3
30
4
0.1333
4
30
0
0.0000
Part a
p-bar:
0.10
p-bar:
0.10
Part c
Oceanside Apparel Com
pany
Part a
x-2bar
36
inches
r-bar
1.8 inches
n:
4
A2:
0.73
Part b
SA
MPLE
(n = 4)
MEA
SUREMENTS (IN INCHES)
MIN
MA
X
X-bar
R
UCLx X-2bar
LCLx
UCLr
r-bar
LCLr
1
37.3 36.5 38.2 36.2
36.2
38.2
37.1
2.000
37.314 36.000 34.686
4.104
1.800
0.000
2
33.4 35.8 37.9 36.2
33.4
37.9
35.8
4.500
37.314 36.000 34.686
4.104
1.800
0.000
33.00
33.50
37.00
37.50
38.00
12345
Sample Number
X-bar chart
X-bar UCLx X-2bar LCLx
0.00
1.00
6.00
7.00
8.00
1 2 3 4 5
Sample Number
R chart
R UCLr r-bar LCLr
Calculating upper and low
er control limits for a continuous variable (sample size = 5)
*** Observations ***
Sample
1 2 3 4 5
X-bar
R
1
34.26 34.66 35.53 34.62 35.87 34.99
1.61
2
34.75 35.10 34.00 35.48 36.64 35.19
2.64
3
34.11 35.17 34.54 35.25 34.97 34.81
1.14
4
34.31 34.56 35.36 35.38 34.30 34.78
1.08
9
34.80 34.60 34.69 32.94 33.87 34.18
1.86
10
35.16 33.26 35.92 34.08 33.33 34.35
2.66
11
33.81 34.81 34.27 34.54 35.17 34.52
1.36
Upper control limit for sample means:
35.78
Lower control limit for sample means:
33.88
Upper control limit for sample ranges:
3.46
Setting Up 99.7% Control Limits, Sampling by A
ttribute
No. of dissatisfied
sample size =
100
Sample
custom
ers
p-value
p-bar =
0.0927
1
9
0.0900
st. dev
=
0.0290
2
11 0.1100
3
13 0.1300
7
9
0.0900
8
8
0.0800
9
11 0.1100
10
12 0.1200
11
10 0.1000
12
7
0.0700
13
8
0.0800
14
9
0.0900
15
8
0.0800
16
8
0.0800
17
9
0.0900
18
10 0.1000
19
6
0.0600
26
9
0.0900
27
8
0.0800
28
12 0.1200
Question 1.)
Question 2.)
Question 3.)
PROBLEM NUMBER
80
77
8
4
Question 4.)
Standa
rd Deviation
The polyme
r-coating p
rocess is not
able to
meet th
e eng
ineering sta
ndard
s 99.7%
of the time.
The
165
degree
s
4 microns
165
degree
s
4 microns
Order incorrect – w
rong p
roducts
shipped
The key p
roblems for custo
mer support
seem ot b
e the
“Slow re
sponse
to inqu
iries” and
“Did not
know
Target Thickness
Average Thickness
Dittenho
efer’s compete
s on se
veral dimensions o
f quality in
cluding fea
tures (prote
ctive coating,
designs
available), reliability
(durability
of china), co
nformance (de
signs not
faded, a
ll pieces matc
h),
The current man
ufacturing p
rocess has
two ke
y prob
lem areas.
The first is the coatin
g thickn
ess of
Target Temperature
Avg. Temperature
Slow resp
onse t
o inquiries
Did not kn
ow sta
tus of custo
mer’s
order
Lost th
e order
50
60
70
80
90
Slow response to inquiries
Did not know status of
customer’s order
Did not notify customer
with regard to change in
delivery date
Incorrect Pricing
Other problems, not listed
above
Lost the order
Order incorrect – wrong
products shipped
Did not n
otify custo
mer with
regard to
chang
e in de
livery date
Incorrect Pricing
Other pro
blems, not
listed ab
ove
Question 5.)
SA
MPLE TEMPE
RA
TURE MEA
SUREMENTS
(taken when the process was under
control)
SA
MPLE
OBSERVA
TIONS
(degrees)
X-bar R
June 1
0
165 169 165 164 169
166.4
0 5
June 1
5
161 165 166 167 165
164.8
0 6
June 2
0
169 161 167 164 167
165.6
0 8
July 1
5
163 168 165 165 167
165.6
0 5
July 2
0
167 167 164 167 164
165.8
0 3
July 2
5
167 163 168 165 168
166.2
0 5
July 3
0
163 165 165 169 163
165.0
0 6
SA
MPLE TEMPE
RA
TURE MEA
SUREMENTS
(taken when the process was under
control)
SA
MPLE
O
BSERVA
TIONS (mi
crons)
X-bar R
June 1
0
4.2
3.9
4.0
4.0
3.9
4.00 0.3
July 0
5
4.0
3.5
4.8
4.0
4.0
4.06 1.3
July 1
0
4.5
4.1
3.9
4.8
3.9
4.24 0.9
July 1
5
3.5
4.0
4.0
4.0
4.8
4.06 1.3
July 2
0
4.8
3.2
4.1
4.8
4.1
4.20 1.6