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Emm502: Quality Management Question Paper

Emm502: Quality Management 

Course:Bachelor Of Engineering In Electrical And Electronic Engineering

Institution: Kenyatta University question papers

Exam Year:2012



KENYATTA UNIVERSITY
UNIVERSITY EXAMINATIONS 2011/2012
SECOND SEMESTER EXAMINATION FOR THE DEGREE OF BACHELOR
OF SCIENCE (MANUFACTURING ENGINEERING)
EMM 502:
QUALITY MANAGEMENT

DATE: Wednesday, 11th April, 2012

TIME: 8.00 a.m. – 10.00 a.m.
------------------------------------------------------------------------------------------------------------
INSTRUCTIONS:
i)
All questions carry equal marks
ii)
There are FIVE questions in this paper.
iii)
Answer any THREE questions.
QUESTION ONE
a)
State five benefits of quality control
b)
“Variation is meritable” and “sing observation form little or no basis for objective
decision making” . Discuss.
c)
By giving a relevant example of a process, discuss the procedure for controlling a
process variability. From the example taken, show if the process is satisfactory
and give appropriate comment.

QUESTION TWO
a)
Give three statements to show that „quality? is a relative term.
(3 marks)
b)
With suitable example discuss how you can develop a quality assurance plan.










(7 marks)
c)
The diameter of a water pipe is specified as D 20mm. An equipment is set to
produce these pipes. Samples of five pipes taken from each hours production and

Page 1 of 4


six sample observations produced the results given in table Q.2. Neglecting
changes in length of the pipes, sketch R chart and X chart and show control
limits, give the control chart factors: A2 = 0.6, D3 = 1 and D4 = 2.1











(10 marks)

Table Q2

Sample pipe diameter
1
2
3
4
5
1
19.5
19.8
19.6
20.4
20.1
2
20.1
19.8
20.3
19.7
19.6
3
20.0
20.4
20.5
19.9
20.0
4
19.9
20.4
20.5
19.9
20.0
5
19.8
19.2
19.7
20.4
20.3
6
20.3
20.0
19.4
20.2
19.6

QUESTION THREE
a)
Discuss the difference between quality control and quality assurance
(6 marks)
b)
Show the variation of probability of acceptance with shifting process mean on
Operating Characteristic (OC) curves of control chart with subgroup size L, M
and N, if L < M < n





(5 marks)
c)
An electronic consumer product company produces control switches to be used in
desk top computers. The data in table Q3 describe inspection results for these
switches during 1st quarter month of March 2012. Compute a percent defective
control chart using 3? control limits.



(9 marks)









Page 2 of 4


Table Q3
Date
Number inspected
No. defective
1
30
4
2
50
2
3
40
1
4
31
3
5
20
3
6
18
5
7
25
3
8
33
1


QUESTION FOUR
a)
What is descriptive statistics?




(4 marks)
b)
Discuss evolution and implementation of Total Quality Management in industries










(6 marks)
c)
A quality control inspection at the Coca Cola Company has taken 10 samples with
four observations each of the volume of bottles filled. The data is shown in table
Q4. If the standard deviation of the bottling operation is 0.14 litres, use this
information to develop control limits of three standard deviations for the bottling
operation.







(10 marks)
Table Q4
Sample
Observations bottle volume in litres
Number

1
2
3
4
1
15.85
16.02
15.83
15.93
2
16.12
16.00
15.85
16.01
3
16.00
15.91
15.94
15.83
4
16.20
15.85
15.74
15.93
5
15.74
15.86
16.21
16.10
6
15.94
16.01
16.14
16.03
7
15.75
16.21
16.01
15.86
8
15.82
15.94
16.02
15.94
9
16.04
15.98
15.83
15.98
10
15.64
15.86
15.94
15.86

Page 3 of 4


QUESTION FIVE
a)
Give meaning of the following terms:-

i)
Quality standard





(1 mark)

ii)
Quality inspection





(1mark)

iii)
Quality testing





(1 mark)

iv)
Quality certification




(1 mark)
b)
With suitable illustrations, discuss the changes in mean and dispersion of a given
product sample






(6 marks)
c)
Three drilling machines at Nairobi steel works are being evaluated for their
capability:
Drilling machine
Standard deviation
A
0.05
B
0.1
C
0.2


i)
If the specifications are set between 0.248 and 0.262 m, determine which
of the machines are capable of producing within specifications








(5 marks)

ii)
If the process mean is 0.250, determine the process capability of the


machines identified in (i)






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