This document discusses project quality management according to the Project Management Institute (PMI) approach. It covers quality planning, quality assurance which involves executing the project according to the quality plan, and quality control which checks if quality requirements are met. Various tools for quality control are described, including control charts, flowcharting, histograms, Pareto charts, run charts and scatter diagrams. Key terminology related to quality management such as total quality management, ISO 9000, statistical independence, and six sigma are also defined.

1. PROJECT MANAGEMENT, PMI APPROACH (PMP)
PROJECT QUALITY MANAGEMENT
Sayed Ahmed
BSc. Eng. in CSc. & Eng. (BUET, Bangladesh)
MSc. in CSc. (University of Manitoba, Canada)
http://sayed.JustEtc.net
http://www.JustETC.net
sayed@justetc.net,www.justetc.net
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References:
Book: PMP in Depth by P. Sanghera
Book: The PMP Exam, How to Pass on Your First Try
Project Management Lessons in Undergraduate Study

2. REFERENCES & SOURCES
 Book: PMP in Depth by P. Sanghera
 Read on 2007
 Book: The PMP Exam, How to Pass on Your First Try
 Read on 2007
 Project Management Lessons in Undergraduate Study
 Articles from the Internet
 Originally created these notes back on 2007
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3. QUALITY MANAGEMENT
 Quality management has three aspects
 Quality planning - plan
 Quality Executing - quality assurance - execute
 Quality controlling - monitor and control
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4. QUALITY PLANNING
 Quality planning - plan
 Identify quality specifications and requirements for the
project
 Plan how the quality specifications will be met
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5. QUALITY PLANNING
 Output
 Quality management plan
 Quality metrics
 Quality checklists
 Process improvement plans
 Quality baseline
 Tools
 Cost benefit analysis
 Benchmarking
 Cost of quality
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6. QUALITY ASSURANCE
 Quality assurance
 Remember it is not quality control
 it is just executing the development in such a way so that the
quality requirements are met
 Output
 Requested changes
 Requested corrective actions
 Modifications to Project management plan
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7. QUALITY ASSURANCE
 Input
 Quality management plan
 Quality metrics
 Quality control measurements
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8. QUALITY CONTROL
 Quality Control
 Quality Control checks if the quality requirements are
met or not
 It is done throughout the
 process/development/production life cycle
 Quality Control uses statistical sampling
 Tools for Quality Control
 Cause and effect diagram
 Shows how different factors relate together
 and affect the quality
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9. TOOLS FOR QUALITY CONTROL
 Control Charts
 Uses statistical sampling and known as statistical process
control
 Example
 take quality measurements of different samples
 Find the average quality
 Draw a line with the average quality
 Plot all the samples' quality
 Draw the line for upper quality limit
 the process may be in control
 If seven consecutive samples fall on one side of the average line
the samples must be inspected
 Flowcharting
 Shows how different components relate
 and determine where quality problems may occur
 Example: Cause and effect diagram
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10. TOOLS FOR QUALITY CONTROL
 Histogram
 Pareto chart
 Histogram-shows defects ranked from greatest to least
 Pareto law
 80% problems come from 20% problems
 Pareto chart is used to find the root causes of the problems
 Run Chart
 Displays quality over time.
 Example: Time/month on X axis, defects per thousand on y
axis.
 Scatter Diagram
 Plot all data and try to find the trends Statistical Sampling:
 Take a sample randomly and measure quality
 Inspection
 Defect repair review 10
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11. TERMINOLOGY – QUALITY MANAGEMENT
 Total Quality Management
 Everyone in the company is responsible for the quality and can influence the
quality of the outcome
 ISO 9000
 Ensures that
 companies document what they do
 and do what they document
 Statistical Independence
 Two samples are not dependent on each other
 Mutually Exclusive
 One choice excludes the other
 Standard Deviation
 Calculate the mean.
 Then find difference between each data point and the mean.
 Square each of the differences. std dev = SQRT((sum of the squired
differences)/(count data points - 1))
 The higher your standard deviation the more diverse the data points.
 Six Sigma
 six sigma standard deviations (99.99966% of the data points) meet customer's
quality limits
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12. TERMINOLOGY – QUALITY MANAGEMENT
 Prevention vs inspection
 Attribute sampling
 conforms quality or not. binary
 variable sampling
 How well something conforms to quality
 Special causes
 Unusual and preventable
 Common Causes
 Normal
 Tolerance
 quality limits for product acceptance
 Control Limits
 Three standard deviation above and below the mean 12
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