Everything posted by Mayank Gupta
- Obeya Room
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Mock Exam Questions
Hello Nafraz Below the answers Q1 - option c is NOT true Q2 - option b is NOT true
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Is Cp, Cpk and Pp, Ppk Values are same? If not, what is the difference of definition and Inference.
Hello Panna The concept of Cp and Cpk is similar to Pp and Ppk. However Pp and Ppk give us the actual performance of the process while Cp and Cpk give us the potential performance of the process. The difference is how we calculate the standard deviation. The decision criteria of process capability using Cp and Cpk is same as that for Pp and Ppk.
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Lean Six Sigma Sponsor vs Lean Six Sigma Champion
The jury is still out on the question However, there are 2 definitive themes that emerge 1. Overlap between the responsibilities of a sponsor and champion. 2. Size and structure of the organization impact the decision to have these as separate roles There are only a few who have supported their answers with examples. Ajit Pathania is one of them and his answer has been selected as the winner!
- Customer Lifetime Value
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Quality Circles
Such open ended questions are always a treat Simply because there are so many different perspectives that one gets to read about the same single concept. There are 4 winners for this question - Rahul Garg, Raghunandan Reddy, Sharmistha Chowdhury, Sandhya Venu - primarily for the details, examples or uniqueness of the answer.
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MoSCoW Method
The selection of the winning answer was difficult this time. Everyone has correctly explained MoSCoW and given very interesting examples (these interesting examples make every answer worth reading once). The winning answer has been provided by Pushpa S. Bharadwaj for additionally highlighting the limitations and overlap with Kano Model.
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Change Effectiveness Equation
There were 2 parts to this question. Part 1 has been answered very well by all the participants. Some have detailed out GE's Change Acceleration Process as well. However, there are only a couple of responses where I could get to see some specific pointers for the second part of the question (quantification of the equation). There are two winners for this question - Ajit Pathania and Manish Prasad.
- Cost Benefit Analysis
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9 Windows
Many published answers have rightly identified 9 windows as a tool used in TRIZ and all answers are a must read as all have given interesting examples for the tool. R Rajesh's answer has been selected as the winner for also mentioning the benefits of the technique.
- EMO Index
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Influential Observations
This was a tricky question and definitely a topic that everyone enjoys There are some excellent answers (read answers by Guru Saran and Eka Pillai), however the one answer that has dissected the question neatly and looked into all aspects of influential observations is given by Rahul. Hence his answer has been selected as the winner.
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LSS with Analytics?
Hello Shivam Lean Six Sigma is not very different from Analytics. Both of them require data and one needs to understand the treatment of data to be an expert in both the fields. Business Analytics can broadly be classified into three parts 1. Descriptive Analytics - this is the a key focus area in Benchmark's Lean Six Sigma Yellow and Green belt courses. Some insights are also provided for prescriptive analytics 2. Prescriptive Analytics - this is a key focus area in Benchmark's Lean Six Sigma Black Belt course. 3. Predictive Analytics - this is a key focus area Benchmark's Business Excellence Master Black Belt course. Lean Six Sigma practitioners have been using and deploying analytics for a very long time now for problem solving. The typical roles available in the industry are data analyst, data modeler and data scientist etc. Different levels deploy different skillsets as highlighted in points 1, 2 and 3 above. You may read more at the following link https://www.benchmarksixsigma.com/forum/topic/34901-business-analytics/ Regards Mayank Gupta
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Decisional Balance Sheet
All the published answers have clearly explained the concept of a Decisional Balance Sheet with some very interesting personal or behavioral related examples. The answers by Eka Pillai, Mahesh Kumar and Rahul Garg have been selected as the best answers as they have given examples of usage of this tool in both professional and personal decision making.
- North Star Metric
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Product Portfolio Matrix
While all answers have explained the Product Portfolio Matrix, many answers have missed out on the second part of the question. Rahul's answer covers all the aspects of question and his answer also highlights key areas within each category where DMAIC / DMADV projects can be initiated. Hence his answer is selected as the winner.
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Standardized Work
All the published answers have correctly explained the concept of Standardized Work. Some of the answers are a must read - Dipankar, Setu, Ilavarasi, Raja - for the examples that they have quoted. While Madhu's answer is a good read to get a gist of the steps involved in implementation of standardized work. However, the answer that stands out, covers all aspects and connects to various other lean principles is provided by Rajesh and hence is selected as the winner.
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Service Recovery Paradox
All published answers have correctly explained the Service Recovery Paradox by providing examples that are mostly driven by personal experiences. Some answers have also highlighted the negatives associated with the paradox thereby suggesting that being right the first time is the best option for the organization. Rajesh's answer critically evaluates the paradox in entirety along with an example and hence has been selected as the winner. Great attempt by all participants!
- Noise Factors
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Credit Exposure
Hello Saurav You will be able to apply the DMAIC methodology for a problem where the cause of the problem and the solution to the problem are unknown. Hence, you first need to identify the problem and then proceed. Basis the description that you provide, it appears you already know the solution. Regards Mayank Gupta
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Logical Relationships
All the published answers have correctly explained the 4 logical relationships. However these had to be supported with examples as well and hence there are two winners for this question - Suresh Sekar and Dipankar Acharya.
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R-Squared
While all published answers have highlighted that correlation will not be able to help us predict or optimize the relationship between the two variables, the other reason is that square of correlation coefficient gives R-Squared only for linear relationships with one factor. If there are multiple factors or it is a non-linear relationship then we again need to do the full regression. Both these points were right highlighted by Dipankar and hence his answer has been chosen as the winner.
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Methods-time Measurement
Rajender has clearly described the various motions involved in the MTM, hence his answer has been selected as the winner.
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Neural Networks
Rajesh has explained in detail the concept of Neural Networks and hence his answer has been selected as the best!
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Confidence Level
A lot of answers to this question spoke about Confidence Interval instead of Confidence Level. However the question was on Confidence Level and not Confidence Interval and hence could not be approved for publication. Maybe we will come up with a question to highlight the difference between the two. But that's for later. Mohamed Essam has provided the best answer to this question. Short and simple!