XMR CHART Objective: Earlier, you have made some progress as a result of the stem-and-leaf diagram. The team changed the process so that returning patients were processed ahead of the first-time patients. This dramatically decreased the overall wait times because the returning patients were already in the system. The team also learned how to improve the process through the use of designed experiments. There were other improvements made through the use of other Six Sigma tools and techniques (aside from your project deliverables) and now the wait times are acceptable. Now, you want to ensure that they are staying that way and you want to practice "prevention" versus "detection." Part of your CONTROL strategy is to employ the use of an on-going capability study to ensure 'the plates are still spinning'--so-to-speak. And, the next deliverable will do that, but prior to performing a capability study, one must make sure the process is in statistical control. This is good, because the team decided to use a control chart as part of the CONTROL phase anyhow, so this will work out fine. In fact, let's do one now...just to make sure we are in statistical control. Data: Wait time (minutes) in order of occurrence 1 10 2 17 3 29 4 39 5 55 6 64 7 28 8 6 9 5 10 3 11 39 12 46 13 35 14 30 15 6 16 32 17 33 18 11 19 20 20 13 21 9 22 23 24 25 26 27 28 29 30 14 12 30 56 62 73 54 10 9 Project Project: : Deliverable : Student last name: Project: Project: Project: XmR Chart Upper control limit for the range: Upper control limit for the individuals: Lower control limit for the individuals: 44.913546 64.931264 0.000000 Is there adequate discrimination? Explain your answer: Which chart did you use and exactly how many strata are there on Take all results to 6 decimal places. I utilized the X-Bar Chart, it spans from 0 to 64.931264 (LCL to UCL) it is If the process is unstable, what process would you follow to determine what is causing the instability? Define, Measure, Analyze, Improve and Control