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. Instructions for you: Answer the questions and type those responses in the peach colored box below. Data: Wait time (minutes) in order of occurrence 1 10 2 17 Control Chart in Excel 2003 3 29 4 39 Control Chart Excel 2007 5 55 6 64 Help 7 28 8 6 "Don't I need special software?" 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 14 23 12 24 30 25 56 26 62 27 73 28 54 29 10 30 9 YOU DO NOT NEED TO SUBMIT THE XmR CHART!! Project: Healthcare 2015 Deliverable: XmR Chart Student last name: Upper control limit for the rang Upper control limit for the indi Lower control limit for the indi 44.990690 64.931264 0.000000 Is there adequate discrimination? Explain your answer: Which chart did you use and exactly how many strata are there on that chart? How many should there be? Take all results to 6 decimal places. Help Help Check Yes there is an adequate discrimination. As we can see from our Xbar-R chart, we have almost 65 Help strata within the control limit range and we only need aatleast 6 for adequate discrimination. If the process is unstable, what process would you follow to determine what is causing the instability? The process is unstable as there is a 4 out of 5 run with an outlier that is above the upper controll limit for the range and its standard deviation is more than 2.66 above the mean time causing variation. To determine what is causing instability, carry out measurements to test for any special cause conditions that could be affecting the customers. HINT Check Check Check