Save as PDF
Opens your browser print dialog — select "Save as PDF" to download.
Total No. of Questions : 8
[Total No. of Printed Pages : 3
Roll No .....................................
MMIE/MMPD-202
M.E./M.Tech., II Semester
Examination, June 2024
Reliability Engineering and Quality Management
M.E./M.Tech., II Semester
Examination, June 2024
Reliability Engineering and Quality Management
Time : Three Hours
Maximum Marks : 70
Note : i) Attempt any five questions.
ii) All questions carry equal marks.
ii) All questions carry equal marks.
1.
a) Obtain a reliability expression for Weibull distribution by using its hazard rate function?
(6)
b) Prove that mean time to failure is given by:
MTTF = lim R(s)
MTTF = mean time to failure.
S = Laplace transform variable.
R(s) = Laplace transform of the reliability function, R(t).
MTTF = mean time to failure.
S = Laplace transform variable.
R(s) = Laplace transform of the reliability function, R(t).
(8)
2.
a) Discuss the need for reliability?
(6)
b) Write down the steps for planning the quality control organizational structure?
(8)
3.
a) List some areas in Automobile field where the Taguchi approach can be used to improve a product or the efficiency of a manufacturing process?
(6)
b) List at least eight important elements of the quality assurance system?
(8)
4.
a) Discuss the following quality control charts:
i) R- Chart
ii) The X Chart
ii) The X Chart
(8)
b) Assume that six samples were taken from the production line of a company manufacturing certain electrical parts. Each sample contained 50 parts. After a careful inspection, it was concluded that samples 1, 2, 3, 4, 5, and 6 contain 2, 4, 10, 6, 5 and 8 defective parts, respectively. Construct the p-chart for electrical parts.
(8)
5.
a) Define six sigma? Discuss the role of six sigma method in decision making?
(6)
b) A manufacturer receives large batches of components daily and decides to institute an acceptance sampling scheme. Three possible plans are considered, each of which requires a sample of 30 components to be tested:
Plan A: Accept the batch if no non-conforming components are found, otherwise reject.
Plan B: Accept the batch if not more than one non-conforming component is found, otherwise reject.
Plan C: Accept the batch if two or fewer non-conforming components are found, otherwise reject.
For each plan, calculate the probability of accepting a batch containing:
Plan B: Accept the batch if not more than one non-conforming component is found, otherwise reject.
Plan C: Accept the batch if two or fewer non-conforming components are found, otherwise reject.
i) 2% non-conforming.
ii) 8% non-conforming.
ii) 8% non-conforming.
(8)
6.
a) Define the acceptance Sampling? Discuss the various types of sampling Plans?
(6)
b) An acceptance sampling scheme consists of taking a sample of size 20 and accepting the batch if no non-conforming items are found. If 2 or more non-conforming items are found the batch is rejected. If 1 non-conforming item is found a further sample of 20 is taken and the batch is accepted if a total of 2 or fewer (out of 40) non-conforming items are found. Otherwise, it is rejected. This plan is denoted n = 20, a = 0, r = 2 n = 20, a = 2, r = 3. Find the probability of accepting a batch containing 4% non-conforming?
(8)
7.
a) Discuss the contribution of Deming's 14 principles for the Total Quality Management (TQM) Framework?
(6)
b) Discuss the various steps involve in the total quality management system?
(8)
8.
Explain any two of the following:
(14)
a) Cost Benefit analysis
b) Deming's wheel
c) Mean time to failure
d) Quality Assurance