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  4. Dear All I have a question related to application of statistics in Six Sigma Project. Do we really need to use statistical analysis? For example, I have done a project to improve the test station capacity. There are many ways to improve the test station capacity which can be done by improving the test algorithm, reducing equipment communication access time, UUT access time, waiting time and etc. By doing all this optimization , I have managed to reduce the test time from 80 mins to 60 mins. So this helps to improve the test station capacity. In this case, what type of statistically tool can we use or it is really necessary to use the statistic to justify the time improvement. Based on test time, there is obsolete improvement. Please advice. thank you Barath
  5. Hello Saurabh You may refer the below link to find applicability of Lean Six Sigma in Oil and Gas sector https://www.benchmarksixsigma.com/forum/topic/559-lean-six-sigma-in-oil-and-gas-petrochemicals/
  6. Q 249. Scrumban is an Agile development methodology that is a hybrid of Scrum and Kanban. What are the key benefits that large Agile teams can derive by combining both methodologies? Note for website visitors - Two questions are asked every week on this platform. One on Tuesday and the other on Friday. All questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/ Please visit the forum home page at https://www.benchmarksixsigma.com/forum/ to respond to the latest question open till the next Tuesday/ Friday evening 5 PM as per Indian Standard Time. Questions launched on Tuesdaya are open till Friday and questions launched on Friday are open till Tuesday. The best answer is always shown at the top among responses and the author finds honorable mention in our Business Excellence dictionary at https://www.benchmarksixsigma.com/forum/business-excellence-dictionary-glossary/ along with the related term
  7. Natwarlal has provided the correct logic and near accurate answer. He is the winner for today.
  8. Corona virus infection pandemic is right now creating havoc in all parts of the world, with infection that originated from China has travelled to 199 countries with a significant surge in the number of case in European countries like Italy, Spain, Germany, France and in a time frame of March 20 th- March 30 th 2020, there has been a marked increase in the number of cases in the United States, with number of cases in USA, going beyond 150,000. The growth pattern is presumed to be exponential type, with number of infected individuals increasing in proportion to the total number of present cases. This pattern can be exemplified by a task assigned to a person, the person tagging the task to three other persons. All the three persons assigning the tasks to three other persons and so on the pattern continues, so the number of involved persons rising from 1 to 3 to 27 to 81 to 243, so there is a rapid and exponential increase in the number of persons involved. Exponential growth of viral infections has led to predictions of new cases day by day, which may fall short of(26 th March 2020) , nearly equal to or may surpass (27 th March 2020) the number of actual cases that are being observed in the data of worldometers.info. The increase in the number of cases than predicted can be attributed to be due to many factors- due to multiple modes of transmission of virus, including airborne route reported in some studies, relapse of cured cases with re-infection by new mutant stains of virus. The decrease in number of cases, compared to predicted number of cases and flattening of curve can be attributed to- proactive measures of social distancing adapted actively by different countries, poor testing facilities of virus in different regions. The number of deaths arising out of these cases is much difficult to predict, as it depends on vulnerability of the population, demographic data and efficacy of healthcare system. The exponential prediction does not take into account the complexity of pandemic and multiple interactions of the variables and also does not account for the flattening of the curve due to social distancing. The equation used for exponential prediction is- x(t) = x0 × (1 + r) t where x(t) is the value at a particular time t x0 is the base value at time t=0. r is the presumed growth rate t is the time interval between time 0 and day of prediction. Imagesource:https://www.google.com/urlsa=i&url=https%3A%2F%2Fwww.vox.com%2F2020%2F3%2F15%2F21180342%2Fcoronavirus-covid-19-us-social-distancing&psig=AOvVaw39XxyUJPlQ32Vjm7sdLYLs&ust=1585689691869000&source=images&cd=vfe&ved=0CAIQjRxqFwoTCMjumc6Qw-gCFQAAAAAdAAAAABBA
  9. Sir, Thanks for the above link that helps to understood the implementation of six sigma in various fields. My working area is In operation department of Oil & Gas and Chemical industry. I followed those links but I didn't find any results. Please help me to understood. Thanks & Regards, Saurabh Kumar
  10. Excellent way of applying the teachings with the current affairs - using Time Series and Forecasting to forecast the number of new cases for Coronavirus. Basis my research (and I am sure by now everyone knows), that pandemics follow an exponential growth. So, when governments say they want to flatten the curve, they basically mean that the exponential growth should be controlled. Exponential growth happens when base grows not be addition or multiplication but by powers. A to the power of B is an example of exponential growth. E.g. let's assume 1.01 to the power of 2 Day 1 => 1.01 to power of 2 = 1.0201 Day 2 => 1.0201 to power of 2 = 1.04 Day 3 => 1.04 to power of 2 = 1.08 ... ... ... Day 10 => value becomes 26612.57 Initially the growth is relatively smaller, but as the time passes, the exponential growth results in very high numbers. Regarding the forecasts for Coronavirus, I picked up the actuals data that was published. Picked up the data from 15th Mar as you are using that as the base value (as below) After running the trend analysis in Minitab for Exponential Growth and using the same for forecasting, below are the results. Growth Model for 26th March forecast Using the above growth model, the forecasted value for 26th March = 60064 Doing the same analysis for 27th March, but this time added the actual figure for 26th March. Growth model for 27th March Using the above growth model, the forecasted value for 27th March = 69336
  11. Shashikant's answer has been selected as the best answer for highlighting the responsibilities of employees and what their actions should be during a crisis situation
  12. Q 248. We have been doing forecasting for Coronavirus global new cases for several days on Linkedin and Forum - https://www.benchmarksixsigma.com/forum/topic/36002-corona-forecasts-and-status/ Try to describe the model (equation) behind the forecasts for 26th and 27th March. The most accurate answer wins. Note for website visitors - Two questions are asked every week on this platform. One on Tuesday and the other on Friday. All questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/ Please visit the forum home page at https://www.benchmarksixsigma.com/forum/ to respond to the latest question open till the next Tuesday/ Friday evening 5 PM as per Indian Standard Time. Questions launched on Tuesdaya are open till Friday and questions launched on Friday are open till Tuesday. The best answer is always shown at the top among responses and the author finds honorable mention in our Business Excellence dictionary at https://www.benchmarksixsigma.com/forum/business-excellence-dictionary-glossary/ along with the related term
  13. Version 1.0.0

    22 downloads

    This zip file contains the Minitab installation files for both Windows and MacOS. You are requested to download and first read the text file "READ ME FIRST" for instructions. Then install Minitab in the laptop you will be using throughout the training. Note: It's important to install the correct version of Minitab before the training to avoid any delay during the sessions
  14. Version 12.0.0

    5 downloads

    This is the Pre-Course study material for Lean Six Sigma Black Belt Training. Note: It is important to read this material before the training, as there will be a Quiz based on the pre-course material on the 1st day of the training.
  15. Version 1.0.0

    72 downloads

    This zip file contains the Minitab installation files for both Windows and MacOS. You are requested to download and first read the text file "READ ME FIRST" for instructions. Then install Minitab in the laptop you will be using throughout the training. Note: It's important to install the correct version of Minitab before the training to avoid any delay during the sessions
  16. Version 12.0.0

    6 downloads

    This is the Pre-Course study material for Lean Six Sigma Green Belt Training. Note: It is important to read this material before the training, as there will be a Quiz based on the pre-course material on the 1st day of the training.
  17. As new lurking variables keep appearing, the model seems to be adopting to the new inputs. However with limited trends of last 4 blocks, I feel the actual will be between 70,500 - 72,500.
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