Project Quality Management
Quality management has three aspects:
1. Quality planning – plan
2. Quality Executing – quality assurance – execute
3. Quality controlling – monitor and control
Quality planning – plan
Identify quality specifications and requirements for the project. Plan hos the quality specifications will be met.
Output:
Quality management plan
Quality metrics
Quality checklists
Process improvement plans
Quality baseline
Tools:
Cost benefit analysis
Benchmarking
Cost of quality
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
Input
Quality management plan
Quality metrics
Quality control measurements
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
Control Charts: Uses statistical sampling and known as statistical process control.
Example: take quality mesurements of different samples. Find the avergae quality. Draw a line with the average quality. Plot all the samples’s quality. Draw the line for upper quality limit. Draw the line for lower quality limit. If all/most points are in between the process may be in control. If seven consecutive samples fall on one side of the avergae line the samples must be inspected.
Flowcharting:Shows how different components relate and determine where quality problems may occur. Example: Cause and effect diagram
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 trendsStatistical Sampling: Take a sample randomly and measure quality
Inspection:
Defect repair review
Some TermsTotal 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.
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 limis for product acceptanceControl Limits: Three standard deviation above and below the mean.
From: http://sitestree.com/?p=4773
Categories:PMP – Project Management
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Post Data:2012-02-22 22:14:48
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