The first set of subgroups are to determine the process mean and standard deviation, these values are to be consider for creation of control limits for both range and mean of each subgroup.In Analyze phase collected 20 sets of plate thickness samples with a subgroup size of 4. Collect minimum 20 to 25 sets of samples in the time sequenceĮxample: In a manufacturing industry the plate thickness is one of the important CTQ factor, during Measure phase, project team performed the process capability study and identified that the process is not capable(less than 2 sigma).Choose the appropriate subgroup size and the sampling frequency.Determine the objective of the chart and choose the important variables.Steps to follow for X bar R chart Objective of the chart and subgroup size There is no meaning to perform process capability studies of an unstable process. Process capability studies can be performed only after both X bar and R chart values are within the control limits.Identify the special cause and address the issue. If any point out of control in X bar chat.As specification limits are provided by customer or management whereas control limits are derived from the average and range values of the subgroups. All the points to be interpret against the control limits but not specification limits.Once the R bar chart is in control, then review X bar chart and interpret the points against the control limits.Remove those subgroups from the calculations. If the points are out of control in R chart, then stop the process.The X bar chart control limits are derived from the R bar (average range) values, if the values are out of control in R chart that means the X bar chart control limits are not accurate.To correctly interpret X bar R chart, always examine the R chart first. XBAR FORMULA HOW TOHow to Interpret the X Bar R Control Charts When the collected data is in continuous (ie Length, Weight) etc.The X Bar S Control chart are to be consider when the subgroup size is more than 10.X bar R chart is for subgroup size more than one (for I-MR chart the subgroup size is one only) and generally it is used when rationally collect measurements in subgroup size is between two and 10 observations.When the data is assumed to be normally distributed.X bar R chart will help to identify the process variation over the time Even very stable process may have some minor variations, which will cause the process instability.This monitors the spread of the process over the time. R-chart: The range of the process over the time from subgroups values. The control limits on the X-Bar brings the sample’s mean and center into consideration. X-bar chart: The mean or average change in process over time from subgroup values. The cumulative sum ( CUSUM) and the exponentially weighted moving average ( EWMA) charts are also monitors the mean of the process, but the basic difference is unlike X bar chart they consider the previous value means at each point. These combination charts helps to understand the stability of processes and also detects the presence of special cause variation. It is actually a two plots to monitor the process mean and the process variation over the time and is an example of statistical process control. X bar R chart is used to monitor the process performance of a continuous data and the data to be collected in subgroups at a set time periods. Selection of appropriate control chart is very important in control charts mapping, otherwise ended up with inaccurate control limits for the data. X Bar R charts are the widely used control chart for variable data to examine the process stability in many industries (like Hospital patients’ blood pressure over time, customer call handle time, length of the part in production process etc.,).
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