I know many will not like my interview questions article. Some may think it is bad for various reasons and some may think it
is good for a quick revision. Again I repeat, you do not get jobs by reading interview questions and answers, but yes it definitely serves as a quick reference. So looking at the good part I
am continuing my interview questions and answers series. This time I will be writing from
a process point of view. Six Sigma is getting good recognition in the market and I am sure many professionals are asked questions
about it. So below is a quick revision which will give you a decent understanding of Six Sigma from an interview point of view.
You can visit my website www.questpond.com for many such interview questions. You can read my architecture interview questions series for
Design Patterns, UML, and SOA at www.codeproject.com/KB/aspnet/SoftArchInter1.aspx.
The below is an extract from my new book Project Management Interview Questions, you can download the PDF from
the below link:
(B) What is Six Sigma?
Sigma is a statistical measure of variation in a process. We say a process has achieved Six Sigma if the quality is 3.4 DPMO (Defect per Million opportunities). It’s a problem solving methodology that can be applied to a process to eliminate the root cause of defects and costs associated with
Figure: Six Sigma
(I) Can you explain the different methodologies for execution and design process in Six
The main focus of Six Sigma is on reducing defects and variations in the processes. DMAIC and DMADV are the models used in most Six
Sigma initiatives. DMADV is a model for designing a process while DMAIC is for improving the process.
The DMADV model has the below five steps:
- Define: Determine the project goals and the requirements of customers (external and internal).
- Measure: Assess customer needs and specifications.
- Analyze: Examine process options to meet customer requirements.
- Design: Develop the process to meet customer requirements.
- Verify: Check the design to ensure that it’s meeting customer requirements.
DMAIC model has the below five steps:
- Define the projects, the goals, and the deliverables to customers (internal and external). Describe and quantify both the defect and the expected improvement.
- Measure the current performance of the process. Validate data to make sure it is credible and set the baselines.
- Analyze and determine the root cause(s) of the defects. Narrow the causal factors to the vital few.
- Improve the process to eliminate defects. Optimize the vital few and their interrelationships.
- Control the performance of the process. Lock down the gains.
Figure: Methodology in Six Sigma
Figure: DMAIC and DMADV
(I) What does executive leaders, champions, Master Black belt, green belts and black belts mean?
Six Sigma is not only about techniques, tools, and statistics, but the main thing depends on people. In Six
Sigma, there are five key players:
- Executive leaders
- Master black belt
- Black belts
- Green belts
Let’s try to understand all the roles of the players step by step.
- Executive leaders: They are the main people who actually decide that we need to do Six
Sigma. They promote it throughout organization and ensure
commitment of the organization in Six Sigma. Executive leaders are the guys who are mainly either CEO or from the board of directors. So in short they are the guys who fund the Six
Sigma initiative. They should believe that Six Sigma will improve the organization process and that they will succeed. They should be determined that they ensure resources get proper training on Six
Sigma, understand how it will benefit the organization, and track the metrics.
- Champions: Champion is a normally a senior manager of the company. He promotes Six
Sigma mainly between business users. He understands Six Sigma thoroughly, serves as a coach and mentor, selects projects, decides objectives, dedicates resources to black belts, and removes obstacles which come across black belt players. Historically Champions always fight for a cause. In Six
Sigma they fight to remove black belt hurdles.
- Master Black-Belt: This role requires the highest level of technical capability in Six
Sigma. Normally organizations that are just starting up with Six Sigma will not have them. So normally outsiders are recruited for
this. The main role of a Master Black belt is to train, mentor, and guide. He helps the executive leaders in selecting candidates, right projects, teach the basics, and train resources. They regularly meet with black belt and green belt training and mentor them.
- Black-Belt: Black belt leads a team on a selected project which has to be show-cased for Six
Sigma. They are mainly responsible to find out variations and see how these variations can be minimized. Most black belts basically select a project and train resources, but black belts are the guys who actually implement it. Black belt normally works in projects as team leads or project managers. They are central to Six
Sigma as they are actually implementing Six Sigma in the organization.
- Green Belt: Green belts assist black belts in their functional areas. They are mainly in projects and work part time on Six
Sigma implementation. They apply Six Sigma methodologies to solve problems and improve
a process at the bottom level. They have just enough knowledge of Six Sigma and they help define the base of
the Six Sigma implementation in the organization. They assist black belts in
the Six Sigma implementation actually.
Figure: Six key players
(I) What are the different kinds of variations used in Six Sigma?
Variation is the basis of Six Sigma. It defines how much changes are happening in
the output of a process. So if a process is improved then this should reduce variations. In
Six Sigma we identify variations in the process, control them, and reduce or eliminate defects. Now let’s understand how we can measure variations.
There are four basic ways of measuring variations: Mean, Median, Mode, and Range. Let’s understand each of these variations in more depth for better analysis.
Figure: Different variations in Six Sigma
Mean: In mean the variations are measured and compared using math’s averaging techniques. For instance, you can see the below figure which shows two weekly measures of how many computers are manufactured. So for we have tracked two weeks, one we have named Week 1 and the other Week 2. So to calculate
the variation by using mean we calculate the mean of week1 and week2. You can see from the calculations below we have got 5.083 for week1 and 2.85 for week2. So we have a variation of 2.23.
Figure: Measuring variations by using Mean
Median: Median value is a mid point in our range of data. Mid point can be found out by finding the difference between
the highest and lowest value then dividing it by two and finally adding the lowest value to
it. For instance, for the below figure in week1 we have 4 as the lowest value and 7 as the highest value. So first we subtract the lowest value from the highest value, i.e., 7 -4. Then we divide it by two and add the lowest value. So for week1 the median is 5.5 and for week2 the median is 2.9. So the variation is 5.5 – 2.9.
Figure: Median for calculating variations
Range: Range is nothing but a spread of values for a particular data range. In short it is the difference between
the highest and lowest values in a particular data range. For instance you can see for
the recorded computer data of two weeks, we have found out the range values by subtracting the highest value from the lowest.
Figure: Range for calculating variations
Mode: Mode is nothing but the most occurred values in a data range. For instance in our computer manufacturing, data range 4 is the most occurred value in Week1 and 3 is the most occurred value in week 2. So the variation is 1 between these data ranges.
Figure: Mode for calculating variations
(A) Can you explain the concept of standard deviation?
The most accurate method of quantifying variation is by using standard deviation. It indicates the degree of variation in a set of measurements or a process by measuring the average spread of data around the mean. It’s but complicated than the deviation process discussed in the previous question, but it does give accurate information.
Note: To understand standard deviation we will be going through a bit of math so please co-operate and keep your head cool. In the below steps we will go step by step and understand how we can implement standard deviation.
Below is the formula for Standard
Deviation. “σ“ symbol stands for standard deviation. X stands for observed values; X (with the top bar) is the arithmetic mean and n is the number of observations. The formulae must be looking complicated but let’s break
them up in to steps and understand them better.
Figure: Standard deviation formulae
The first step is to calculate the mean. This can be calculated by adding all the observed values and dividing that by the number of observed values.
Figure: Step 1 Standard Deviation
The second step is to subtract the average from each observation, square them, and then sum them. Because we square them we will not get negative values.
The below figure indicates the same in a very detail manner.
Figure: Step 2 Standard deviation
In the third step we divide the same with the number of observations, as shown the figure.
Figure: Step 3 Standard deviation
In the final step we take the square root which gives the standard deviation.
Figure: Step 4 standard deviation
Note: Below are some questions which we have not answered and have been left as an exercise to the readers. We will definitely try to cover
that in the second edition.
(B) Can you explain the concept of fish bone/ Ishikawa diagram?
There are situations where we need to analyze what caused a failure or problem in a project. Fish bone or Ishikawa diagram is one of the important concept which can help you list down your root cause of the problem. Fish bone was conceptualized by Ishikawa, so in the honor of its inventor this concept was named as Ishikawa diagram. Inputs to conduct a fish bone diagram comes from
a discussion and brain storming with people who were involved in the project.
The below figure shows how the structure of the Ishikawa diagram is. Below is a sample fish bone diagram. The main bone is the problem which we need to address and to know what caused the failure. For instance the below fish bone is constructed to know what caused the project failure. To know this cause we have taken four main bones as input: Finance, Process, People, and Tools. For instance, on the people front, there are many resignations, this was caused because there was no job satisfaction
- this was caused because the project was a maintenance project. In the same way causes are analyzed on the Tools front also. In tools
- No tools were used in the project - because no resource had enough knowledge about the same
- this happened because of a lack of planning. In the process front, the process was adhoc
- this was because of tight deadlines - this was caused because marketing people over promised and did not negotiate properly with the end customer.
Now once the diagram is drawn the end bones of the fish bone signify the main cause of
the project failure. From the below diagram, here’s a list:
- No training was provided for the resources regarding tools.
- Marketing people over promised with customer which leads to tight deadlines.
- Resources resigned because it’s a maintenance project.
Figure: Fish bone / Ishikawa diagram
(B) What is Pareto principle?
Pareto principle, also paraphrased as 80/20 principle, is a simple and effective problem tackling way in management. It says that 20% of your problems lead to
the other 80 % of problems. So rather than concentrating on the 80% of problems if you concentrate on 20% of problems you can save
a lot of trouble. So in Pareto you analyze the problems and only concentrate on 20% of your vital problems.
If you look at the above fish bone diagram we have discussed, all the root problems
are due to only three reasons:
- No tools are used.
- No process is defined.
- Many resignations.
So if we tackle these problems we can solve all the other problems.
(A) Can you explain QFD?
(A) Can you explain FMEA?
(A) Can you explain X bar charts?
(A) Can you explain Flow charting and brain storming?
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