Anthony King M3.3 SPC Tools

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Embry-Riddle Aeronautical University *

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515

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Dec 6, 2023

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docx

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1 Statistical Process Control Tools Anthony King College of Aeronautics, Embry-Riddle Aeronautical University SYSE 515: Math Applications in Systems Engineering Frederica Robinson-Bryant Instructor November 3, 2023
2 Statistical Process Control Tools Upon review of the 25 samples, the X-Bar chart reveals that there are 4 points outside of the upper control limit (UCL) and 2 points outside of the lower control limit (LCL). The R chart reveals 2 points outside of the LCL, but none outside of the UCL. Both charts clearly state that the process is out of control. There are primarily common cause variations in both charts and several special cause variations. A visual representation can be observed in Figure 1 below: Figure 1 Control Chart Example Note . Creative Safety Supply, 2023, ( https://www.creativesafetysupply.com/glossary/control- charts/ )
3 It appears tests 21 and 22 in the R chart fall into rule 2 of interpretation because they are consecutively in zone A and all the points outside of the limits for both charts fall under rule 1 (McNeese, 2016). If you refer to figures 2 and 3 below, this issue can be better understood. Figure 2 Control Chart Rules Note. McNeese, B., 2016, ( https://www.spcforexcel.com/knowledge/control-chart-basics/control- chart-rules-interpretation/ ) Figure 3 Control Chart Rules Table
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4 Note. McNeese, B., 2016, ( https://www.spcforexcel.com/knowledge/control-chart-basics/control- chart-rules-interpretation/ ) McNeese states that the possible cause for rules 1 and 2 could be a new person not properly trained on the equipment, having the wrong setup, having a measurement error, accidental or purposeful skipping of a process step, not completing a process step, having a power failure, or equipment breakdown (McNeese, 2016). These are the reasons why this data set shows to be out-of-limits.
5 References Creative Safety Supply. (2023). Control Charts. https://www.creativesafetysupply.com/glossary/control-charts/ McNeese, B. (2016). Control Chart Rules and Interpretation. SPC for Excel. https://www.spcforexcel.com/knowledge/control-chart-basics/control-chart-rules- interpretation/