Manage and Control Quality

Tool used to Manage Quality Process

1. Data gathering (checklist), 2. Data analysis (document analysis, process analysis, alternative analysis, root cause analysis), 3. Decision making (multi-criteria decision analysis), 4. Data representation (affinity diagrams, cause-and-effect-diagrams, flowcharts, histograms, matrix diagrams, scatter diagrams), 5. Audits, 6. Design for X, 7. Problem solving, 8. Quality improvement methods

What are the tools used in the Controlling Quality Process?

1. Data gathering (checklist, check sheets, statistical sampling, questionnaires and surveys), 2. Data analysis (performance reviews, root cause analysis), 3. Inspection, 4. Testing/product evaluations, 5. Data representation (cause-and-effect diagrams, control charts, histograms, scatter diagrams), 6. Meetings (retrospective, approve change requests review)

Pareto Diagram 6 steps

1. Develop a list of causes or error types to be compared, 2. Record frequencies, 3. rank the top six in descending order, 4. find cumulative % for each of the causes responsible,5. chart and draw line

6 steps of root cause analysis?

1. Identify an issue and define problem, 2. collect data (troubled), 3. analysis for patterns, 4. check for process gaps/review gaps, 5. Identify root cause, 7. Update process.

What are the inputs to the Manage Quality Process

1. Project Management plan (Quality management plan), 2. Project documents )Lessons learned register, Quality control measurements, quality metrics, risk report), 3. OPA

Inputs for Controlling Quality Process

1. Project management plan (quality management plan), 2. Project documents (Lessons learned register, quality metrics, test and evaluation documents), 3. Approved change requests, 4. Deliverables, 5. Work Performance data, 6. Enterprise environmental factors, 7. OPAs

Outputs of the Control Process

1. Quality control measurements, 2. Verified deliverables, 3. Work Performance information, 4. Change requests, 5. Project management plan updates (quality management plan), 6. Project documents updates ( Issue logs, lessons learned register, test and evaluation documents)

Outputs of the Manage Quality Process

1. Quality reports, 2. Test and evaluation documents, 4. Project management plan updates (quality management plan, scope baseline, schedule baseline, cost baseline), 4. change request, 5. Project documents updates (issue log, lessons learned register, risk register)

Control Chart

A graphic display of process data over time and against established control limits, which has a centerline that assists in detecting a trend of plotted values toward either control limit.

Pareto Diagram

A histogram, ordered by frequency of occurrence, that shows how many results were generated by each identified cause. Based on Pareto Principle

Upper Control Limit (UCL)

A line in a control chart that provides the largest value that is still acceptable without being labeled an abnormal variation.

Root Cause Analysis

An analytical technique used to determine the basic underlying reason that causes a variance or a defect or a risk. A root cause may underlie more than one variance or defect or risk.

Pareto Principle (80/20 rule)

An observation that for many events, roughly 80 percent of the effects come from 20 percent of the causes.

Rule 7

If seven consecutive samples (quality) fall above/below mean toward the UCL or LCL (enter root cause analysis)

Common Cause Variation

The source of variation in a process that is inherent within the process

Ishikawa diagram or Fishbone Diagram

Tool used in root cause analysis

Lower Control Limit (LCL)

a line in a control chart that provides the smallest value that is still acceptable without being labeled an abnormal variation