Chapter Name: Control quality
Description:This lesson covers monitoring and measuring project outputs to ensure they meet the predefined quality standards. It also includes making adjustments as needed when discrepancies are identified.
Purpuse:To maintain and improve the quality of project deliverables.
Rational:Controlling quality helps to identify and correct any issues or deviations from quality standards, ensuring that the project meets stakeholder expectations and requirements.
Chapters Topics
Project quality control concepts and flow of data
Project Quality Control Concepts and Flow of Data:Quality control focuses on monitoring and controlling the project’s quality performance. The flow of data includes inputs like the Quality Management Plan, Quality Metrics, Quality Checklists, and Work Performance Data, tools such as statistical sampling and inspections, and outputs like validated changes, verified deliverables, and project document updates.
The importance and benefits of quality control
The Importance and Benefits of Quality Control:Quality control ensures that the project’s deliverables meet the required quality standards. By identifying and addressing quality issues early, it helps avoid rework, minimizes costs, and ensures stakeholder satisfaction. It is crucial for maintaining the integrity and success of the project’s outcomes.
Input documents to control the project quality (Quality Management Plan, Quality Metrics, Quality Checklists, Work Perfromnace Data, Approved Changes Requests, Deliverables, Project Documents Organisational Process Assest)
Input Documents to Control the Project Quality:Key inputs include the Quality Management Plan, Quality Metrics, Quality Checklists, Work Performance Data, Approved Change Requests, Deliverables, Project Documents, and Organizational Process Assets. These documents provide the basis for controlling quality throughout the project.
Quality control tools and techniques (Quality Management and Control Tools [Affinity diagrams, Process descision program charts, Interrelationship digraphs, Tree diagrams, Prioritisation matrices, Activity network diagrams, Matrix diagrams], Statistical Sampling, Inspection, Approved Change Requests Review)
Quality Control Tools and Techniques:Tools and techniques include Quality Management and Control Tools (such as Affinity Diagrams, Process Decision Program Charts, Interrelationship Diagrams, Tree Diagrams, Prioritization Matrices, Activity Network Diagrams, and Matrix Diagrams), Statistical Sampling, Inspection, and Approved Change Requests Review. These tools help monitor the quality of work and ensure that deliverables meet specified standards.
Quality control reports and outputs (Quality Control Measurements, Validated Changes, Verified Deliverables, Work Perfromance Information, Change Requests, Project Management Plan Updates, Project Document Updates, Organisations Process Assests Updates)
Quality Control Reports and Outputs:Outputs include Quality Control Measurements, Validated Changes, Verified Deliverables, Work Performance Information, Change Requests, Project Management Plan Updates, Project Document Updates, and Organizational Process Assets Updates. These outputs help document and track the quality performance of the project and guide decisions.