Question
A shirt manufacturer buys cloth by the 100 yard roll from a supplier. For setting up...
A shirt manufacturer buys cloth by the 100 yard roll from a supplier. For setting up a control chart to manage the irregularities (e.g., loose threads and tears) the following data was collected from a sample provided by the supplier.
| SAMPLE | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| IRREGULARITIES | 1 | 4 | 1 | 4 | 3 | 2 | 3 | 5 | 6 | 4 |
a. Determine the c¯c¯ , Sp,
UCL and LCL for a c -chart with z= 2.
(Leave no cells blank - be certain to enter "0" wherever
required. Round your answers to 2 decimal places.)
| c−c− | |
| Sp | |
| UCL | |
| LCL | |
b. Suppose the next five rolls from the supplier had four, four, four, three, and five irregularities. Is the supplier process under control?
-
Yes
-
No
Homework Answers
Answer #1
Not the answer you're looking for?
Similar Questions
During the process of producing toilet paper, Scott Paper randomly selects a toilet paper roll 5...
During the process of producing toilet paper, Scott Paper
randomly selects a toilet paper roll 5 times throughout the day and
subjects each roll to a stress test to see how often the paper
tears. Over a 3-day period, the testing of 15 rolls found the
following number of defectives in each roll: 2, 3, 1, 2, 3, 2, 3,
3, 1, 2, 2, 1, 2, 2 and 1.
Construct a control chart for the process. (Leave no
cells blank...
Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart...
Ten samples of 15 parts each were taken from an ongoing process
to establish a p-chart for control. The samples and the
number of defectives in each are shown in the following table:
SAMPLE
n
NUMBER OF
DEFECTIVE ITEMS IN THE SAMPLE
1
15
0
2
15
0
3
15
0
4
15
2
5
15
0
6
15
3
7
15
1
8
15
0
9
15
3
10
15
1
a.
Determine the p−p−, Sp, UCL and LCL...
Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart...
Ten samples of 15 parts each were taken from an ongoing process
to establish a p-chart for control. The samples and the
number of defectives in each are shown in the following table:
SAMPLE
n
NUMBER OF
DEFECTIVE ITEMS IN THE SAMPLE
1
15
0
2
15
2
3
15
0
4
15
3
5
15
1
6
15
3
7
15
1
8
15
0
9
15
0
10
15
0
a.
Determine the p−p−, Sp, UCL and LCL...
Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart...
Ten samples of 15 parts each were taken from an ongoing process
to establish a p-chart for control. The samples and the
number of defectives in each are shown in the following
table:
SAMPLE
n
NUMBER OF DEFECTIVE ITEMS IN THE SAMPLE
1
15
2
2
15
2
3
15
2
4
15
0
5
15
2
6
15
1
7
15
3
8
15
2
9
15
1
10
15
3
a. Determine the p−p− , Sp,
UCL and...
Ten samples of 15 parts each were taken from an ongoing process to establish a p-chart...
Ten samples of 15 parts each were taken from an ongoing process
to establish a p-chart for control. The samples and the
number of defectives in each are shown in the following
table:
SAMPLE
n
NUMBER OF DEFECTIVE ITEMS IN THE SAMPLE
1
15
1
2
15
1
3
15
3
4
15
1
5
15
0
6
15
0
7
15
2
8
15
1
9
15
2
10
15
1
a. Determine the p−p− , Sp,
UCL and...
Carpet is packaged in 100-yard rolls. Quality control team opens five rolls every day to check problems...
Carpet is packaged in 100-yard rolls. Quality
control team opens five rolls every day to check problems like
inconsistency in pattern or color, stains, and other potential
defects. These problems are counted and reported as
number of problems found per roll. The following table
shows number of problems found in one day:
Sample
# of problems
1
5
2
2
3
4
4
3
5
1
What you can say about the process?
This process is not in statistical control because upper
control...
Twelve samples, each containing five parts, were taken from a process that produces steel rods at...
Twelve samples, each containing five parts, were taken from a
process that produces steel rods at Emmanual Kodzi's factory. The
length of each rod in the samples was determined. The results were
tabulated and sample means and ranges were computed.
Refer to Table S6.1 - Factors for computing control chart limits
(3 sigma) for this problem.
Sample
Size, n
Mean Factor,
A2
Upper Range,
D4
Lower Range,
D3
2
1.880
3.268
0
3
1.023
2.574
0
4
0.729
2.282
0...
Problem 10-25 Resistors for electronic circuits are manufactured on a high-speed automated machine. The machine is...
Problem 10-25
Resistors for electronic circuits are manufactured on a
high-speed automated machine. The machine is set up to produce a
large run of resistors of 1,000 ohms each. Use Exhibit 10.13.
To set up the machine and to
create a control chart to be used throughout the run, 15 samples
were taken with four resistors in each sample. The complete list of
samples and their measured values are as follows: Use three-sigma
control limits.
SAMPLE NUMBER
READINGS (IN OHMS)...
Aspen Plastics produces plastic bottles to customer order. The quality inspector randomly selects four bottles from...
Aspen Plastics produces plastic bottles to customer order. The
quality inspector randomly selects four bottles from the bottle
machine and measures the outside diameter of the bottle neck, a
critical quality dimension that determines whether the bottle cap
will fit properly. The dimensions (in.) from the last six samples
are
Bottle
Sample
1
2
3
4
1
0.617
0.582
0.602
0.610
2
0.596
0.606
0.615
0.574
3
0.591
0.594
0.580
0.593
4
0.613
0.616
0.613
0.591
5
0.622
00.596...
The following are quality control data for a manufacturing process at Kensport Chemical Company. The data...
The following are quality control data for a manufacturing
process at Kensport Chemical Company. The data show the temperature
in degrees centigrade at five points in time during a manufacturing
cycle.
Sample
x
R
1
95.72
1.0
2
95.24
0.9
3
95.18
0.7
4
95.42
0.4
5
95.46
0.5
6
95.32
1.1
7
95.40
0.9
8
95.44
0.3
9
95.08
0.2
10
95.50
0.6
11
95.80
0.6
12
95.22
0.2
13
95.58
1.3
14
95.22
0.6
15
95.04
0.8
16...
ADVERTISEMENT
Need Online Homework Help?
Get Answers For Free
Most questions answered within 1 hours.
ADVERTISEMENT
Active Questions
asked 2 minutes ago
asked 12 minutes ago
asked 20 minutes ago
asked 24 minutes ago
asked 30 minutes ago
asked 31 minutes ago
asked 34 minutes ago
asked 42 minutes ago
asked 47 minutes ago
asked 52 minutes ago
asked 1 hour ago
asked 1 hour ago