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Mayank Gupta

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Everything posted by Mayank Gupta

  1. Mayank Gupta
    Interesting answers to this question. There are joint winners for this question - Ashutosh Bhardwaj and B Ravi Sankar. Do read all the answers for a better perspective on Performance (OEE)
  2. Mayank Gupta
    Very thoughtful answers from all respondents. Though all answers are correct, the best answer is from B Ravi Sankar for providing detailed examples of how quality can be miscalculated. Well done. It is recommended to read the other answers as well.
  3. Mayank Gupta
    Oh, if the objective is to do a Time and Motion study using a stop watch, then we do not need statistical calculation of sample size. We can work with a sample of about 30. For Time and Motion study, ensure the following 1. Different types of transactions are covered 2. Most of the agents (if not all) are covered 3. If there is an automated system which is performing some tasks, then that time also needs to be included
  4. Mayank Gupta
    Hello Puneet In absence of data for the potential causes listed in fishbone, following approaches could be taken 1. Prepare a data collection plan and start collecting the data (ideally this is done in Measure phase of a project, however we can still do it in Analyze phase). The project timelines might get impacted slightly, but nevertheless we will be able to work with data to identify the critical Xs. 2. Use the Control Impact Matrix to identify the critical Xs. It is subjective in nature, however because it is a group activity the believed that individual biases will be addressed in a group decision. You can read more about it at the below link https://www.benchmarksixsigma.com/forum/topic/36262-control-impact-matrix/ Hope this helps!
  5. Mayank Gupta
    Great answers to this question. B Ravi Sankar has provided the best answer to this question. He has provided a detailed example of how Availability is miscalculated in OEE. Well done. Answer from D. Nandakumar is also a must read to understand the various reasons for availability losses as these losses are the opportunity where the calculations go wrong.
  6. Mayank Gupta
    Best of the Best (BoB) refers to the best performance of the process which is sometimes also referred to as the Zentitlement of the process. By knowing what the BoB is, a process excellence professional will always have a view on how much better the process can be made. D. Nandakumar had provided the best answer to the question.
  7. Mayank Gupta
    While all published answers are correct, the most complete answer has been provided by D. Nandakumar. Do review the other answers as well.
  8. Mayank Gupta
    Pradeep Shukla has provided the best answer to this question. Well done!
  9. Mayank Gupta
    All the published answers are good. However the most comprehensive answer has been given by B Ravi Sankar. He has clearly explained the two tools in PQPR Matrix along with a relevant example.
  10. Mayank Gupta
    From the published answers, Pradeep Shukla has provided the best answer to the question. His answer highlights the key elements for a successful MGPP implementation. Well done!
  11. Mayank Gupta
    All the published answers are correct and worth reading. The best answer has been written by B Ravi Sankar. He has also provided a relevant example for the same.
  12. Mayank Gupta
    Pradeep Shukla has provided the best answer to this question by explaining the different types of Matrix Diagrams and also providing an example for the same. Well done!!
  13. Mayank Gupta
    The best answer to this question has been provided by Pradeep Shukla. Well done!
  14. Mayank Gupta
    The published answers are correct, however, there is no winner for this question. The respondents have only highlighted one of the purposes - compare two variances. Another purpose is to determine the assumption for a 2 sample T test (variations are the same or variations are different). Some of the not so common uses of 2 variance test - confirm pre vs post improvement after a variation reduction project - determine which data set is giving a smaller variation and hence a better performance (provided mean of both data sets is same)
  15. Mayank Gupta
    Pradeep Shukla has correctly highlighted the differences, assumptions and applicability of the two tests. Hence his answer has been selected as the winning answer.
  16. Mayank Gupta
    Pradeep Shukla has provided the best answer from the ones published. Note: Many answers are not getting published. Top reasons 1. High AI-generated content 2. High plagiarism Request all respondents to ensure adherence to the guidelines for your answer to get published. - Responses will not be visible until they are reviewed, and only non-plagiarised answers with less than 5-10% plagiarism will be approved (use https://smallseotools.com/plagiarism-checker/ to check for plagiarism) - We also use an AI content detector at https://crossplag.com/ai-content-detector/. Only answers with less than 15-20% AI-generated content will be approved.
  17. Mayank Gupta
    It is unfortunate that good answers are not approved due to high AI-generated content or plagiarism. Amongst the approved answers, Pradeep Shukla has provided the best answer to this question. P.S. Acceptance of raw material or finished goods is a common application area of the one proportion test.
  18. Mayank Gupta
    Slightly difficult question. Sanuja Godaarawa has provided the best answer to this question by clearly highlighting the assumptions, advantages, limitations, and applications. P.S. Many answers have not been approved. Either they were high on AI generated content or were plagiarized.
  19. Mayank Gupta
    Hello Pradeep Comparison proportion is not same as Margin of Error. Comparison proportion is the hypothesized proportion plus or minus the margin of error. so in your case, if hypothesized proportion is 20% and margin of error is 5%, then comparison proportion will become 15% or 25% Below is how you will enter the details in Minitab. (In Comparison proportion, you can also choose to enter any one value. If entering 2 values, give a space between them).
  20. Mayank Gupta
    Ankur Sarkar has provided the best answer to this question. P.S. Many answers have not been approved due to a high % of AI-generated content and/or plagiarism.
  21. Mayank Gupta
    This was a relatively easy question to answer. Many answers have not been approved as they had high AI-generated content. Among the answers that have been approved, Ankur Sarkar has given the best answer. He has rightly highlighted the limitations of Mood's Median test.
  22. Mayank Gupta
    The question mentions that the 1-Variance Test is a lesser-known statistical tool. Some of the answers that have not been approved are because they explained two variance tests and their variations. From the published answers, Venkateswaran Kazhagamani's answer has been selected as the winner for giving relevant examples.
  23. Mayank Gupta
    Hello Pradeep 2 replicates are fine. It will take care of noise factors during the experimentations. Regards Mayank Gupta
  24. Mayank Gupta
    Good to see some well researched and drafted answers. The best answer has been provided by Rakesh Naik. It is recommended that you go through the other answers as well. There is something new to learn in every answer!
  25. Mayank Gupta
    There were many answers to this question, however only 2 are visible as the others were not published. The others either failed the plagiarism or the AI generated content test or both. I request all participants to write the answers in their own words. Best answer has been provided by Venkateswaran Kazhagamani.
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