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Control Quality

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The PMBOK control quality Process

Control Quality in your PMBOK project

The control quality process is there to make sure that the project and product results with the quality management plan.

The quality management plan, qualitative methods, and quality metrics are applied to along with the work performance measurements and the deliverables themselves in order to determine whether the work has been done correctly.

In addition, this process validates that approved changes have been implemented correctly.  The definition of control quality is: “the process of monitoring and reporting results of executing the quality activities to assess performance and recommended necessary changes.”

Preventing a problem or defect during design is better than finding defects after the deliverable is complete – and then having to repair it.

Control quality – the Quality Management Plan

As mentioned above the quality management plan is the major input for the control quality process and will normally include the following information:

  • Existing flowchart so by processes that you are looking to improve
  • Upper and lower control and specification limits contained within the control charts
  • Information is referenced such as sampling numbers, the sample criteria, measurements and variable sampling.
  • Quality metrics, these can be any measurement that must be met for the results to meet the quality requirements.
  • Quality checklist ensures that the proper steps are being followed in order to comply with aspects such as processes, regulations or policies.

The work performance measurements come from the control scope, control schedule, and control cost processes.

The close relationship exists between control quality and scope verification; we compare deliverables against the quality plan to ensure they are correct and meet the requirements, the validated deliverables are input to the Verify Scope process to gain customer acceptance.

However, the performed control quality process is also where change requests are validated, as the approved change requests are an input to this process as shown by this diagram:

The PMBOK control quality

 

There are four main outputs from the perform quality control process:

The quality measurements are recorded and passed on to the perform quality assurance process.

The deliverables and their results are validated.  If they are not compliant then a change request is raised in order to bring them into compliance.

Any changes are validated as appropriate.

Various documentation will need to be updated including the project management plan containing the quality management plan and the process improvement plan, any quality standards or metrics, and appropriate organisational process assets lessons learned and quality checklists.

There are already tools and techniques used in perform quality control, and they come under the heading of Ishikawa’s 7 quality tools:

Flowcharting.

A process flow chart is created showing the individual steps of a particular process in order to help analysis:

Cause and effect diagrams.

These are often called fishbone diagrams and are drawn by defining the problem and then analysing variables that would have been impact on the problem itself:

The PMBOK control quality Process

Histograms.

This takes the form of a vertical bar chart where the vertical axis is calibrated in the number of defects:

The PMBOK control quality Process

Pareto Chart.

This is a type of histogram but the vertical bars are reordered in the rank of the defect numbers.  This is also known as the 80/20 rule that states and 80% of the problems come from 20 per cent of the causes.  This allows the control and focus on the most serious  80% of the problems:

The PMBOK Quality Control Process

Run chart.

This charts the time history and patterns of variation:

The PMBOK Quality Control Process

Control charts.

This adds an upper and lower control limit of three standard deviations either side of a horizontal center line.  The resulting time plot shows whether a particular system is in or out of control:

The PMBOK Quality Control Process

Scatter diagrams. 

This plots points on a two- variable graph, where the clustering and positioning of these points can show the trend information.  Further, it shows the correlation between the two variables, either negative or positive:

The PMBOK Quality Control Process

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