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Previous year question hub

Quality Management - Quality and Reliability - Production & Industrial Engineering Previous Year Questions

Practice Quality Management - Quality and Reliability - Production & Industrial Engineering previous year questions organised from real papers, with year-wise coverage and clear topic navigation.

20Papers
18Years
59Questions
1Topics

Quality Management question pattern

Every graph below is calculated only from this selection.

Questions by year

Year-wise coverage for Quality Management. Each bar uses a separate theme-derived color.

Difficulty distribution

How the classified questions are distributed by difficulty.

Easy 37 62.7%
Medium 22 37.3%

Question type distribution

MCQ, numerical, multiple-select and other formats found in these papers.

MCQ 48 81.4%
Numerical Answer Type (NAT) 9 15.3%
MSQ 2 3.4%

Subject weightage

Top subjects by unique question coverage.

Production & Industrial Engineering
59 Qs

Most asked topics

Top topics across the included previous year papers.

Quality and Reliability
59 Qs

Subtopic coverage

Top subtopics inside this exact selection.

Quality Management
59 Qs

Paper coverage

Question coverage for the most populated papers. Every active PYP paper remains listed below.

Production and Industrial Engineering (PI) 2026
1 Qs
Production & Industrial Engineering (PI) 2025
2 Qs
Production & Industrial Engineering (PI) 2024
1 Qs
Production & Industrial Engineering (PI) 2023
1 Qs
Production & Industrial Engineering (PI) 2022
3 Qs
Production & Industrial Engineering (PI) 2021
2 Qs
Production & Industrial Engineering (PI) 2020
2 Qs
Production & Industrial Engineering (PI) 2018
1 Qs
Production & Industrial Engineering (PI) 2017
4 Qs
Production & Industrial Engineering (PI) 2016
3 Qs
Production & Industrial Engineering (PI) 2014
2 Qs
Production & Industrial Engineering (PI) 2013 [Session 1]
3 Qs
Production & Industrial Engineering (PI) 2013 [Session 2]
3 Qs
Production & Industrial Engineering (PI) 2013 [Session 4]
3 Qs
Production & Industrial Engineering (PI) 2012
2 Qs
Production & Industrial Engineering (PI) 2011
7 Qs
Production & Industrial Engineering (PI) 2010
2 Qs
Production & Industrial Engineering (PI) 2009
4 Qs
Production & Industrial Engineering (PI) 2008
8 Qs
Production & Industrial Engineering (PI) 2007
5 Qs

Included previous year papers

Newest papers appear first. Sort by year, question coverage or name.

PaperYear / sessionQuestions in this viewOpen
Production and Industrial Engineering (PI) 202620261View paper
Production & Industrial Engineering (PI) 202520252View paper
Production & Industrial Engineering (PI) 202420241View paper
Production & Industrial Engineering (PI) 202320231View paper
Production & Industrial Engineering (PI) 202220223View paper
Production & Industrial Engineering (PI) 202120212View paper
Production & Industrial Engineering (PI) 202020202View paper
Production & Industrial Engineering (PI) 201820181View paper
Production & Industrial Engineering (PI) 201720174View paper
Production & Industrial Engineering (PI) 201620163View paper
Production & Industrial Engineering (PI) 201420142View paper
Production & Industrial Engineering (PI) 2013 [Session 1]20133View paper
Production & Industrial Engineering (PI) 2013 [Session 2]20133View paper
Production & Industrial Engineering (PI) 2013 [Session 4]20133View paper
Production & Industrial Engineering (PI) 201220122View paper
Production & Industrial Engineering (PI) 201120117View paper
Production & Industrial Engineering (PI) 201020102View paper
Production & Industrial Engineering (PI) 200920094View paper
Production & Industrial Engineering (PI) 200820088View paper
Production & Industrial Engineering (PI) 200720075View paper

All Quality Management previous year questions

Practice every matching question in batches of 20, with every available option.

1
2007 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2007
Which one of the following cost components is a part of appraisal costs related to quality?
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2
2007 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2007
A process is to be controlled with standard values \(\mu = 15\) and \(\sigma = 3.6\). The sample size is 9. The control limits for the \(\bar{X}\) chart are
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3
2007 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2007
The process capability index (\(C_{pk}\)) for the manufacturing process is
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4
2007 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2007
For the above manufacturing process, the ratio of the potential process capability to its actual process capability is
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5
2008 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2008

Acceptable Quality Level (AQL) is associated with

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6
2008 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2008
During a survey of customers in a store, 20 samples of size 200 customers were taken. The number of dissatisfied customers was found to be 180. The upper and lower control limits for the control chart of dissatisfied customers will be
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7
2008 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2008
In an assembly, the dimension of a component should be between 20 mm and 30 mm. Twenty five components were taken at random during the manufacturing of the components. The mean value of the dimension and the standard deviation of the 25 components were 26 mm and 2 mm respectively. The process capability index Cpk of the concerned manufacturing process would be
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8
2008 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2008
A three-component welded cylindrical assembly is shown below. The mean length of the three components and their respective tolerances (both in mm) are given in the table below.
ComponentMean Length (mm)Tolerance (mm)
PX1 = 18± 1.2
QX2 = 23± 1.0
RX3 = 24± 1.5
Assuming a normal distribution for the individual component dimensions, the natural tolerance limits for the length (Y) of the assembly (mm) is
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9
2008 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2008
A three-component welded cylindrical assembly is shown below. The mean length of the three components and their respective tolerances (both in mm) are given in the table below.
ComponentMean Length (mm)Tolerance (mm)
PX₁ = 18±1.2
QX₂ = 23±1.0
RX₃ = 24±1.5

Assuming a normal distribution for the individual component dimensions, the natural tolerance limits for the length (Y) of the assembly (mm) is
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10
2009 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2009
The probability of incorrectly rejecting a good batch or the Producer's risk is
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11
2009 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2009
The probability of incorrectly accepting a bad batch or the Consumer's risk is
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12
2010 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2010
A batch of 10,000 raw work units is processed through 20 operations, each of which has a fraction defect rate of 0.05. The defect-free units and the number of defects in the final batch are, respectively.
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13
2011 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2011
The number of defectives produced by a six sigma process (in parts per million) is
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14
2011 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2011
A shop-floor engineer is looking at an X control chart for outer diameter of a cylindrical component with design specifications as 50 ± 0.1 mm. The control chart uses a sample size of 25, and has a standard deviation of 0.01 mm and a mean of 50.02 mm. The process capability index Cp for this process is
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15
2011 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2011
The output ‘y’ of a process is related to two independent and non-correlated process variables x₁ and x₂ through the following relation:
y = 200 + 3x₁ - 8x₂
The standard deviations of the variables x₁ and x₂ are 0.5 each. A portion of cumulative standard normal distribution table (z table) is given below:
z1.01.52.02.5
Cumulative probability0.84130.93320.97720.9938

If the values of x₁ and x₂ are set at 10 and 20 respectively, the probability that the value of ‘y’ is greater than 76.41 will be

Question diagram

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16
2011 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2011
The slope of the operating characteristic curve (OC Curve) of this plan would be
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17
2011 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2011
If the lot size is 50 and it has 10 % defective items, then the average total number of items inspected (ATI) per lot would be
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18
2012 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2012

Reduction in the variability of manufactured product characteristics will definitely result in observations close to

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19
2012 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2012

The specification limits for the weight of a product are 13.1 kg and 15 kg. If the process has a variance of weight 0.05 kg2, then the process capability index is

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20
2013 · Production & Industrial Engineering · Quality and Reliability · Quality Management
Production & Industrial Engineering (PI) 2013 [Session 1]

A company manufactures 1000 toys every day. On an average, 10% of the toys are defective and 40% of the defective toys can be reworked into defect-free ones. The average number of defect-free toys manufactured daily is

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Showing 20 of 44 questions