Mayank Gupta

All the published answers are correct and it was difficult for me to choose one winner. There are two winners to this question - Mohamed Asif (for providing some insights into how the evasion techniques) and Sohan Subhash Mirajkar (for providing some examples). The other 2 answers are also a must read!!

While all published answers are correct, the best answer has been provided by Kaviraj. For further reading - An interesting application of KT Analysis is the safe return of the Apollo13 crew when they faced mid journey issues.

Rahul Arora has provided the best answer to this tricky question. Well done!

Qualitative Analysis usually takes a back seat while we work with numbers, however it is equally important. To be honest, I was not expecting that there will be such wonderful answers to this question (and I strongly recommend reading all answers). It was a difficult choice to make, however, I still had to make a choice. Answer from Rahul Arora has been selected as the winner for pointing out how Thematic Analysis can be utilized to understand the VOC to identify a potential project area.

All published answers have explained the two tools correctly. Best answer has been provided by Kaviraj for using the same data set and comparing the two tools. Answers from Rahul Arora and Chandra Shekhar Chauhan are also a must read.

P Balakumaaran has provided the best answer to the question. First there is the definition and comparison of Value add and Non value add activities. Second Non value add activities are further classified as essential and non-essential. Third, there are various methods mentioned to address the two types of NVAs. Well written!

All the published answers are correct and to the point, however Ravindra has provided the best answer as to how modelling and simulation can expedite the DMAIC sequence.

The intent of the question was to highlight the fact that customers do not feel the average or the mean. They always feel the variation or difference in the service. While there were many responses to the question, few of them could not be approved as they were not relevant to the context. The best answer has been provided by P Balakumaaran. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.

Lean Accounting can help an organization quantify their improvement efforts. This fact has been highlighted by the example quoted by Anshul Vaidya. Hence his answer has been selected as the best!! There are a couple of more answers that compare the traditional accounting with lean accounting statement. These are also a good read.

This seemingly simple question has proved to be very challenging. The statement - "Sigma Level for a process cannot be calculated if there are zero defects" - is only true for Discrete Data. This statement does not hold good for Continuous Data. For Continuous Data, Sigma Level can be calculated (without knowing the actual defect count) and it indicates the probability of getting defects (DPMO). For Discrete Data, we first calculate DPMO / DPU / Yield% (with the actual defect count) and then convert them to Sigma Level. Hence, if defects are 0, there is no Sigma Level for Discrete Data. While there are a few answers which seemed to be moving in the right direction, however no answer is completely correct. Hence, there are no winners for this question.

P Balakumaaran has highlighted the ease of using Shainin DOE along with the associated risks. Hence, his answer has been selected as the best answer.

Very detailed answers by all respondents. There are 2 winners for this question - Chandrashekhar Hande and Saurabh Dhaked for providing the explanations for the 3 tenets of Juran Trilogy along with an example.

While all the published answers are correct, answer from P Balakumaaran has been selected as the winner because of the detailed explanation and a better comparison with De Bono's Six Thinking Hats. P.S. Sometimes in Disney Creative Strategy, we also have one more category - Outsiders.

Very detailed answers from all respondents. Anshul has provided the best answer to the question. My view - CATWOE checklist is better suited to identify and understand the problem. Once done, it can then help the team visualize multiple potential solutions. However these are potential solutions - they still need to be evaluated and optimized. (my view has no bearing on the selection of the best answer)

While all answers are well drafted, there are two that stand out - P Balakumaaran and Manish Manjhi. Both answers are a must read and both answers are selected as winners. P Balakumaaran - answer for its simple yet powerful way of explaining RBD plus its usage. Manish Manjhi - for highlighting its valid usage across 4 phases of DMADV. Congratulations to both!!

Dharanesh has explained in detail the model and given some interesting pointers to ensure that LSS trainings get a high score His answer has been selected as the best answer.

Mohamed has highlighted the maximum number of wastes that might get addressed by implementing Hanedashi and hence his answer is the best. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert. PS - I believe Hanedashi can help us address all 8 wastes except for Over Production

Anshul Vaidya has provided the best answer to the question. Examples quoted by Mohamed are worth reading.

This was a tricky question to answer. In the published answers there are two distinct approaches - one more conceptual and theoretical while the other involves explaining with an example. While Anshul's answer is a treatise on the question and is a must read, Mohamed's answer scores a bit more for the example. Hence, Mohamed's answer has been selected as the winner.

Great answers by both Mohamed and Johanan. However, Mohamed's answer has been selected as the best answer for additional inputs on the considerations of screening designs and providing 2 examples.

Johanan has provided a good explanation along with examples and hence has been selected as the winner for this question.

Santosh Mane has provided the best answer to this question. He has also provided an example to support his answer. Answer from Johanan is a must read to get a holistic understanding of P-Diagram.

Prabhu has included a relevant example in the answer to explain Jishuken. Hence, his answer has been selected as the best answer.

Excellent answer from Vijay and hence his answer has been selected as the winner. P.S. The roots of some of the most common terms in business excellence like Kaizen and Train the Trainer lies in the concept of Training Within Industry.

Brilliant examples quoted to support the answers. It was a treat to review the answers and select the winner. Winning answer has been provided by Mohamed Asif.