Control chart article easily

Aug 6th, 2022
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How to control chart article

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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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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.
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.
Control charts serve a specific purpose in your quality improvement efforts: they help distinguish between common cause and special cause variation.
Types of Control Charts X-Chart. X-Charts present variable data. P-Chart. P-Charts are used for data that is counted. NP-Chart. NP-Charts are used to present the number of nonconforming or conforming items. C-Chart. U-Chart. MR-Chart. Individual MR-Chart. Custom Data Control Chart.
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).
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.
Variables control charts are used to evaluate variation in a process where the measurement is a variable--i.e. the variable can be measured on a continuous scale (e.g. height, weight, length, concentration).
The objective of the control chart is to find any special causes of variation as well as to reflect the process improvements that have been made. Again, to effectively use control charts, you must understand the information in variation.
Types of Control Charts X-Chart. X-Charts present variable data. P-Chart. P-Charts are used for data that is counted. NP-Chart. NP-Charts are used to present the number of nonconforming or conforming items. C-Chart. U-Chart. MR-Chart. Individual MR-Chart. Custom Data Control Chart.
All Control Charts Contain: a centerline. upper and lower control limits. a scale on y-axis to define values.

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