Control chart notice easily

Aug 6th, 2022
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How to control chart notice

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hey there andy robertson here with cqe academy and in todays video i want to go through some of the fundamental concepts and control charts and then talk about one of the most popular control charts out there the x bar on our chart all right lets head over the computer and dive in all right lets go ahead and get into it what im showing here is kind of the agenda for todays lecture so im going to start with talking about the two types of variation so the beauty of a control chart is that it helps us distinguish between special and common cause variation thats exactly why we use them so i want to talk about what those things are and then were briefly going to talk about the key elements of control chart these are those unique features of a control chart that help us distinguish between normal and special cause variation and then theres a really important topic in control charts called rational subgrouping so i want to talk about that and then were going to go through both the

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To determine the average amount. To determine the spread about the average. To determine if the process is in control (only common cause variation, see Jan 2004 e-zine on the website) To show the result of improvement efforts.
The following rules can be used to properly interpret control charts: Rule 1 One point beyond the 3 control limit. Rule 2 Eight or more points on one side of the centerline without crossing. Rule 3 Four out of five points in zone B or beyond. Rule 4 Six points or more in a row steadily increasing or decreasing.
Rule 8: A run of 8 consecutive points 1𝝈 (either side) If we get 8 consecutive points 1 sigma from the centerline (either side) then the special cause is available. In other words, 8 consecutive points with no points available in zone C (any side of the centerline).
Special causes of variation are detected on control charts by noticing certain types of patterns that appear on the control chart. The point beyond the control limits is one such pattern. You might see a pattern of 7 consecutive points above the average.
Control rule means a time-certain date, past, present or future, used to establish participation in a limited entry fishery and may or may not include specific past harvest amounts.
The control chart is a graph used to study how a process changes over time. Data are plotted in time order. A control chart always has a central line for the average, an upper line for the upper control limit, and a lower line for the lower control limit. These lines are determined from historical data.
The 8 Control Chart Rules. If a process is in statistical control, most of the points will be near the average, some will be closer to the control limits and no points will be beyond the control limits. The 8 control chart rules listed in Table 1 give you indications that there are special causes of variation present.
Rule of Seven Tests The tests state that an out of control situation is present if one of the following conditions is true: 1) Seven points in a row above the average, 2) Seven points in a row below the average, 3) Seven points in a row trending up, or 4) Seven points in a row trending down.
The following rules can be used to properly interpret control charts: Rule 1 One point beyond the 3 control limit. Rule 2 Eight or more points on one side of the centerline without crossing. Rule 3 Four out of five points in zone B or beyond. Rule 4 Six points or more in a row steadily increasing or decreasing.
Control charts give clear guidance on when to adjust a process and when to leave it alone. Control charts drive process improvement (if used properly). Control charts are accepted by all types of customers. Control charts provide a written record or chart.

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