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Mayank Gupta

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Everything posted by Mayank Gupta

  1. Sourabh Nandi has provided the best answer to this question by providing business applications of Venn Diagrams along with an example. Congratulations!
  2. Sourabh Nandi has provided the best answer to this question for providing the different ways in which Heijunka can be implemented. Another very common tool used for implementing Heijunka is called a "Heijunka Box". Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  3. Meet Maheshwari has provided the best answer to this question by providing an example for divergent and convergent thinking. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  4. Everyone has given great answers, however the best answer has been given by Raj Saxena for listing out what actions the organizations can take at each stage of the curve. Strongly recommended to read all answers.
  5. Sudhir Gayakwad and Raj Saxena are the joint winners for this question. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  6. Everyone has provided excellent answers to this question and it was difficult to pick out the best answer. Therefore, all answers have been selected as the best answer. Congratulations to all! Special mention for Ram Kumar Chaudhary as he has given an interesting perspective of visual factory in a service set up.
  7. There were two parts to this question. Only the first part - What is Nelson rules - has been answered. Do review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  8. Rajeshwari's answer has highlighted the methods of checking if the goal is achievable and hence has been selected as the best answer. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  9. Interesting answers from everyone, especially the origins of some of the world's most famous brands. The best answer has been provided by Pinkulal Karan. Congratulations. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  10. There are two best answers to this question. One is from Krutibas Biswal for highlighting the concept of nested QFDs. Second is from Tushar Maradwar for providing multiple other application areas along with an example.
  11. While everyone has written good answers, the best answer has been provided by Sudhir G and Raj Saxena for providing specific actions that the healthcare sector can take to address the triple enemies of Muda, Muri and Mura. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  12. Senthilkumar has provided the best answer to this question. He has explained residuals, why we need to analyze the residual plots, the meaning of non normal and non random residuals and also highlighted how we could address these issues in regression. Raj's answer is also a must read. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  13. Losses are avoided - 5 Lean can be combined with other quality instruments to get better analysis - 6 Financial results improving - 3 Quality costs increasing - 7 Product quality improvements - 2 Increase customer satisfaction - 4 Promoting business growth - 1
  14. Raj Saxena, Shashikant Adlakha and Selva Mariappan Subramanian are the joint winners for this question. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  15. The best answer to this question has been provided by Raj Saxena and Rajeshwari. Congratulations!
  16. There is no best answer for this question. Sampling is done to derive meaningful inferences about the population. Some of the key considerations for sampling are 1. Purpose of the study 2. Cost and time available for the study 3. Permissible errors in the study (alpha and beta) 4. Population Information (sampling frame) available 5. Sampling method (to ensure a non-biased and representative sample) 6. Sample size Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  17. The best answer has been provided by Selva Mariappan Subramanian and Raj Saxena for clearly explaining how CONWIP works along with its advantages and disadvantages using examples. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  18. While everyone has provided great answers for the elements of 'Purple Cow', the question tried to explore how these elements could be applied in creating a purple cow for business excellence. Hence, there are no winners for this question.
  19. All answers rightly highlight how Planning Poker is used in an agile software development. The best answer to this question has been provided by Tushar Maradwar, R Rajesh, Satyajit Das and Krutibas Biswal for highlighting the usage and by providing interpretation of the numbers in a planning poker deck. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  20. Interesting examples of usage of TRIZ provided by everyone. Best answer provided by Pradeepan Sekar for giving the most holistic answer - highlighting the constraints, how they could be resolved and by providing some real time usage of TRIZ. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  21. All answers have very interesting takes on how Hammurabi's Code is relevant in the organizations today. Kudos to all of you! There are three winners for this question because of their depth in explaining the code and how organizations' will be able to implement it - Pradeepan Sekar, Senthilkumar G and Selva Mariappan Subramanian
  22. Box plot calculates the maximum value from the data itself. One data set cannot have 3 different maximum values. The maximum value might be occurring three times in the data set, but it will be the same value that occurs again. Imagine it like this, in an exam, there could be 3 toppers. In this case all 3 of them got the same marks.
  23. Hello Sridhar What you are referring to is an automated tool that could help you identify the data distribution and then confirm the sample size. I am not sure that such approach would be useful. Every data set is unique and you will need a pair of eyes to look through and make sense of the data. Regards Mayank Gupta
  24. The best answer for this question has been provided by Pradeepan Sekar. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.
  25. While all published answers are correct, Senthilkumar G has provided the correct answer to this question. Also review the answer provided by Mr Venugopal R, Benchmark Six Sigma's in-house expert.

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