Explanation/Reference:
Explanation:
Process: 8.3 Control Quality
Definition: The process of monitoring and recording results of executing the quality activities to assess performance and recommend necessary changes.
Key Benefit: 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.
Inputs
1. Project management plan
2. Quality metrics
3. Quality checklists
4. Work performance data
5. Approved change requests
6. Deliverables
7. Project documents
8. Organizational process assets
Tools & Techniques
1. Seven basic quality tools
2. Statistical sampling
3. Inspection
4. Approved change requests review
Outputs
1. Quality control measurements
2. Validated changes
3. Verified deliverables
4. Work performance information
5. Change requests
6. Project management plan updates
7. Project documents updates
8. Organizational process assets updates

Section: Volume E

Explanation/Reference:
Explanation:
Process: 12.2 Conduct Procurements
Definition: The process of obtaining seller responses, selecting a seller, and awarding a contract.
Key Benefit: The key benefit of this process is that it provides alignment of internal and external stakeholder expectations through established agreements.
Inputs
1. Procurement management plan
2. Procurement documents
3. Source selection criteria
4. Seller proposals
5. Project documents
6. Make-or-buy decisions
7. Procurement statement of work
8. Organizational process assets
Tools & Techniques
1. Bidder conference
2. Proposal evaluation techniques
3. Independent estimates
4. Expert judgment
5. Advertising
6. Analytical techniques
7. Procurement negotiations
Outputs
1. .Selected sellers
2. .Agreements
3. .Resource calendars
4. .Change requests
5. .Project management plan updates
6. .Project documents updates

Explanation/Reference:
Explanation:
4.4.2.2 Analytical Techniques
Analytical techniques are applied in project management to forecast potential outcomes based on possible variations of project or environmental variables and their relationships with other variables. Examples of analytical techniques used in projects are:
Regression analysis,

Grouping methods,

Causal analysis,

Root cause analysis,

Forecasting methods (e.g., time series, scenario building, simulation, etc.),

Failure mode and effect analysis (FMEA),

Fault tree analysis (FTA),

Reserve analysis,

Trend analysis,

Earned value management, and

Variance analysis.