1. quality management interview questions
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• qualitymanagement123.com/86-quality-management-interview-questions-and-answers
I. Contents of quality management interview questions
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The interview questions below can be used for quality positions such as: Quality/QA manager;
Quality/QA assistant; Quality/QA supervisor; Quality/QA coordinator, quality engineer, quality
analyst etc
I. Sample quality interview questions
1.What is your ISO 9001 experience? Have you taken a company through registration?
2.What is your track record on ISO 9001 non-conformities?
3.What is your experience with writing the QA Manual?
4.What is your experience in working with sampling plans? Please describe some of the
standards.
5.What audits have you been involved with? What is important to recognize when doing an
audit? Why Audit?
6.If an employee is doing something different then the procedure, what action should be taken
against the employee? Do you correct the employee on the spot?
7.Difference between Six Sigma and CMMI?
8.What are the roles of Quality Assurance?
9.What is the difference between quality assurance and quality control?

2. 10.Differentiate between product quality and process quality?
11.What are the three measures in common use in Quality?
12.How many types of reviews that we have in our testing? What is bad defect? why do we write
bad defects?
13.Give examples of metrics to control the efficiency of the testing suppliers.
14.What are the benefits of Quality Management System?
15.What are Six mandatory Quality procedures?
16.Which Steps must be used in implementing a quality management system?
17.Describe to me the difference between validation and verification.
18.Describe to me what you see as a process. Not a particular process, just the basics of having a
process.
19.Give an example of Where and How You have improved the testing quality?
20.What are the quality principles?
21.In the region, where there is no quality management, what would you do to introduce the
concept of TQM?
22.Describe to me when you would consider employing a failure mode and effect analysis.
23.Tell me about any quality efforts you have overseen or implemented. Describe some of the
challenges you faced and how you overcame them.
24.What types of documents would you need for QA, QC, and Testing?
25.What is the difference between QA and testing?
II. Quality management interview answer tips
1. Identify key goals, tasks, job specs and attributes for quality positions then ask question: how
to do, how to become …
2. Listen questions carefully, then ask by your self : what are things related to quality
management field before answering.
3. Always ask by yourself: what are quality management proofs that are required for this
position?
4. Make a full list of interview questions for quality management field: specialized interview
questions, common interview questions, interview tips, interview thank you letters, types of job
interview questions…

3. Services
ISO 9001:2008
Quality Management System is a quality management standard. It applies to all types of
organizations. It doesn't matter what size they are or what they do. It can help both product and
service organizations achieve standards of quality that are recognized and respected throughout
the world.
Benefits of ISO 9001:2008 Implementation

4. * Improved internal working leading to less errors
* Improved customer satisfaction and loyalty
* Improved morale and motivation
* Preferential insurance premiums
* Competitive advantage
* Increased profitability
* Enhanced status
OHSAS 18001:2007
Occupational Health and Safety Management System is an internationally
recognized occupational health and safety management system standard.
It is intended to address occupational health and safety (OH&S) rather than
product safety.
Benefits of OHSAS 18001:2007 Implementation
* Customer satisfaction
* Reduced operating costs
* Legal compliance
* Improved risk management
* Proven business credentials
EMS 14001:2004

5. Environment Management System is designed to assist any type of organizations to meet its
responsibility for securing the future condition of our environment. The Standard is designed to
ensure energy and cost savings.
Benefits of EMS 14001:2004 Implementation
* Compliance with environmental legislation
* Prevention of pollution
* Minimizes energy & resource usage
* Reducing operating costs
* Continual improvement in environmental performance
* Reduces the risk of penalties and avoids litigation.
ISMS 27001:2005
Information Security Management System (ISMS) is a management system which helps
companies manages day-to-day information security issues in a systematic way. The ISO/IEC
27001 standard specifies the requirements needed to implement an effective Information
Security Management System (ISMS) in an organization.
Benefits of ISMS 27001:2005 Implementation
* Resolves security issues
* Security awareness within an organization
* Dvelopment of best practice
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III. Quality management tools

6. 1. Check sheet
The check sheet is a form (document) used to collect data
in real time at the location where the data is generated.
The data it captures can be quantitative or qualitative.
When the information is quantitative, the check sheet is
sometimes called a tally sheet.
The defining characteristic of a check sheet is that data
are recorded by making marks ("checks") on it. A typical
check sheet is divided into regions, and marks made in
different regions have different significance. Data are
read by observing the location and number of marks on
the sheet.
Check sheets typically employ a heading that answers the
Five Ws:
 Who filled out the check sheet
 What was collected (what each check represents,
an identifying batch or lot number)
 Where the collection took place (facility, room,
apparatus)
 When the collection took place (hour, shift, day
of the week)
 Why the data were collected
2. Control chart
Control charts, also known as Shewhart charts
(after Walter A. Shewhart) or process-behavior
charts, in statistical process control are tools used
to determine if a manufacturing or business
process is in a state of statistical control.
If analysis of the control chart indicates that the
process is currently under control (i.e., is stable,
with variation only coming from sources common
to the process), then no corrections or changes to
process control parameters are needed or desired.
In addition, data from the process can be used to
predict the future performance of the process. If
the chart indicates that the monitored process is

7. not in control, analysis of the chart can help
determine the sources of variation, as this will
result in degraded process performance.[1] A
process that is stable but operating outside of
desired (specification) limits (e.g., scrap rates
may be in statistical control but above desired
limits) needs to be improved through a deliberate
effort to understand the causes of current
performance and fundamentally improve the
process.
The control chart is one of the seven basic tools of
quality control.[3] Typically control charts are
used for time-series data, though they can be used
for data that have logical comparability (i.e. you
want to compare samples that were taken all at
the same time, or the performance of different
individuals), however the type of chart used to do
this requires consideration.
3. Pareto chart
A Pareto chart, named after Vilfredo Pareto, is a type
of chart that contains both bars and a line graph, where
individual values are represented in descending order
by bars, and the cumulative total is represented by the
line.
The left vertical axis is the frequency of occurrence,
but it can alternatively represent cost or another
important unit of measure. The right vertical axis is
the cumulative percentage of the total number of
occurrences, total cost, or total of the particular unit of
measure. Because the reasons are in decreasing order,
the cumulative function is a concave function. To take
the example above, in order to lower the amount of
late arrivals by 78%, it is sufficient to solve the first
three issues.
The purpose of the Pareto chart is to highlight the
most important among a (typically large) set of
factors. In quality control, it often represents the most
common sources of defects, the highest occurring type

8. of defect, or the most frequent reasons for customer
complaints, and so on. Wilkinson (2006) devised an
algorithm for producing statistically based acceptance
limits (similar to confidence intervals) for each bar in
the Pareto chart.
4. Scatter plot Method
A scatter plot, scatterplot, or scattergraph is a type of
mathematical diagram using Cartesian coordinates to
display values for two variables for a set of data.
The data is displayed as a collection of points, each
having the value of one variable determining the position
on the horizontal axis and the value of the other variable
determining the position on the vertical axis.[2] This kind
of plot is also called a scatter chart, scattergram, scatter
diagram,[3] or scatter graph.
A scatter plot is used when a variable exists that is under
the control of the experimenter. If a parameter exists that
is systematically incremented and/or decremented by the
other, it is called the control parameter or independent
variable and is customarily plotted along the horizontal
axis. The measured or dependent variable is customarily
plotted along the vertical axis. If no dependent variable
exists, either type of variable can be plotted on either axis
and a scatter plot will illustrate only the degree of
correlation (not causation) between two variables.
A scatter plot can suggest various kinds of correlations
between variables with a certain confidence interval. For
example, weight and height, weight would be on x axis
and height would be on the y axis. Correlations may be
positive (rising), negative (falling), or null (uncorrelated).
If the pattern of dots slopes from lower left to upper right,
it suggests a positive correlation between the variables
being studied. If the pattern of dots slopes from upper left
to lower right, it suggests a negative correlation. A line of
best fit (alternatively called 'trendline') can be drawn in
order to study the correlation between the variables. An
equation for the correlation between the variables can be

9. determined by established best-fit procedures. For a linear
correlation, the best-fit procedure is known as linear
regression and is guaranteed to generate a correct solution
in a finite time. No universal best-fit procedure is
guaranteed to generate a correct solution for arbitrary
relationships. A scatter plot is also very useful when we
wish to see how two comparable data sets agree with each
other. In this case, an identity line, i.e., a y=x line, or an
1:1 line, is often drawn as a reference. The more the two
data sets agree, the more the scatters tend to concentrate in
the vicinity of the identity line; if the two data sets are
numerically identical, the scatters fall on the identity line
exactly.
5.Ishikawa diagram
Ishikawa diagrams (also called fishbone diagrams,
herringbone diagrams, cause-and-effect diagrams, or
Fishikawa) are causal diagrams created by Kaoru
Ishikawa (1968) that show the causes of a specific
event.[1][2] Common uses of the Ishikawa diagram are
product design and quality defect prevention, to identify
potential factors causing an overall effect. Each cause or
reason for imperfection is a source of variation. Causes
are usually grouped into major categories to identify these
sources of variation. The categories typically include
 People: Anyone involved with the process
 Methods: How the process is performed and the
specific requirements for doing it, such as policies,
procedures, rules, regulations and laws
 Machines: Any equipment, computers, tools, etc.
required to accomplish the job
 Materials: Raw materials, parts, pens, paper, etc.
used to produce the final product
 Measurements: Data generated from the process
that are used to evaluate its quality
 Environment: The conditions, such as location,
time, temperature, and culture in which the process
operates

10. 6. Histogram method
A histogram is a graphical representation of the
distribution of data. It is an estimate of the probability
distribution of a continuous variable (quantitative
variable) and was first introduced by Karl Pearson.[1] To
construct a histogram, the first step is to "bin" the range of
values -- that is, divide the entire range of values into a
series of small intervals -- and then count how many
values fall into each interval. A rectangle is drawn with
height proportional to the count and width equal to the bin
size, so that rectangles abut each other. A histogram may
also be normalized displaying relative frequencies. It then
shows the proportion of cases that fall into each of several
categories, with the sum of the heights equaling 1. The
bins are usually specified as consecutive, non-overlapping
intervals of a variable. The bins (intervals) must be
adjacent, and usually equal size.[2] The rectangles of a
histogram are drawn so that they touch each other to
indicate that the original variable is continuous.[3]
III. Other topics related to quality management interview questions (pdf
download)
quality management systems
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iso 9001 quality management system
quality management process
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quality system management
quality management techniques
quality management standards
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quality management books