Control Quality

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Control Quality is part of the “Quality Management” Knowledge Area, and is part of the “Monitoring and Controlling” Process Group.

Control Quality is the process of monitoring and recording results of executing the quality activities to assess performance and recommend necessary changes. The key benefits of this process include: (1) identifying the causes of poor process or product quality and recommending and/or taking action to eliminate them; and (2) validating that project deliverables and work meet the requirements specified by key stakeholders necessary for final acceptance.

The Control Quality process uses a set of operational techniques and tasks to verify that the delivered output will meet the requirements. Quality assurance should be used during the project?s planning and executing phases to provide confidence that the stakeholder?s requirements will be met and quality control should be used during the project executing and closing phases to formally demonstrate, with reliable data, that the sponsor and/or customer?s acceptance criteria have been met.
The project management team may have a working knowledge of statistical control processes to evaluate data contained in the control quality outputs. Among other subjects, the team may find it useful to know the differences
between the following pairs of terms: ? Prevention (keeping errors out of the process) and inspection (keeping errors out of the hands of the
customer).
? Attribute sampling (the result either conforms or does not conform) and variables sampling (the result is
rated on a continuous scale that measures the degree of conformity).
? Tolerances (specified range of acceptable results) and control limits (that identify the boundaries of common variation in a statistically stable process or process performance).

This definition was found in the PMBOK V5

Go back to the Glossary or to the Mapping
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Control Quality has:
Inputs:

  • Approved change requests
  • Deliverables
  • Organizational Process Assets
  • Project documents
  • Project Management Plan
  • Quality checklists
  • Quality metrics
  • Work performance data

Outputs:

  • Change requests
  • Organizational Process Assets updates
  • Project documents updates
  • Project Management Plan updates
  • Quality control measurements
  • validated changes
  • Verified deliverables
  • Work performance information

Tools and techniques:

  • Approved change requests review
  • Inspection
  • Seven basic quality tools
  • Statistical sampling

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