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18 Cards in this Set

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Define: Quality
Quality is the measure of how closely your product conforms to requirements. The product is only as good as the requirements you have written for it.
What are the three main concepts of quality?
1. Customer Satisfaction - making sure the customer is happy with the product. Meeting the customers stated and sometimes unstated (quality, etc) needs.
2. Fitness for use - making sure that the product you build has the best design possible to fit the customers needs. You could pound in a nail with a screwdriver, but a hammer is more fit.
3. Conformance to requirements - the core of both customer satisfaction and fitness for use. Above all, your product needs to do what you wrote down in your requirements specification. Conform to both stated and implied requirements
What is the difference between Quality and Grade?
Quality means that something does what you need it to do. Grade describes how much people value it. The lobster is a high grade meal; the hot dog is a low-grade one. But they're both low quality if you actually wanted a salad.
What are the Quality Management Processes?
1. Plan Quality - Create a Quality Management plan to help guide you and your team through quality activities.
2. Perform Quality Control - is the Monitoring and Controlling process where you look at each deliverable and inspect it for defects.
3. Perform Quality Assurance - where you take a step back and look at how well your project fits in with your company's overall quality standards and guidelines.
Describe the Plan Quality Process
The Plan Quality process focuses on taking all the information available to you at the beginning of your project and figuring out how you will measure your quality and prevent defects.
What are the 7 inputs to Plan Quality?
1. Risk Register
2. Organizational Process Assets
3. Enterprise Environmental Factors
4. The Cost Baseline
5. The Schedule Baseline
6. The Scope Baseline
7. Stakeholder Register
What tools are used in Plan Quality?
1. Cost-Benefit Analysis - looking at how much your quality activities will cost versus how much you will gain from doing them.
2. Benchmarking - Using the results of other projects to set goals for your own.
3. Design of experiments - where you apply the scientific method to create a set of tests for your projects deliverables.
4. Flowcharting - graphical depiction of process to anticipate defects
5. Control Charts - used to figure out which processes in your company might be having quality problems.
6. Cost of quality - cost of all prevention and inspection activities on the project.
7. Statistical Sampling - when you look t a representative sample of something to make decisions.
What are the 5 Outputs of plan Quality?
1. Quality Management Plan - the main tool for preventing defects on the project.
2. Checklists - are there to help people head off mistakes that might cause defects. Also used in inspection.
3. Process improvement plan - strategy for improving the process you are using to do the work.
4. Quality Metrics - the kinds of measurements you'll take throughout your project to figure out its quality.
5. Project Document Updates - new information that affects other plans already made.
Describe the Perform Quality Control Process
The Perform Quality Control Process is all about inspecting your work products to find defects. If there are problems, you recommend a change. That way you can either fix or prevent the problem.
What are the 7 inputs for Perform Quality Control?
1. Project Management Plan
2. Quality Checklists
3. Deliverables
4. Work Performance Measurements
5. Quality Measurements
6. Quality Metrics
7. Organizational Process Assets
8. Approved change Requests
What are the 7 basic tools of Perform Quality Control?
1. Control Charts - visualizing how processes are doing over time. 7 points on one side of mean = potential problem.
2. Cause and effect diagram - see all possible causes. Also called fishbone, Ishikawa.
3. Pareto Charts - plot frequency of defects in descending order. Use 80/20 rule to target causes.
4. Flowcharts - Show how processes work visually.
5. Histogram - Show how data breaks down. ex. 158 defects but only 28 are critical.
6. Run Chart - show trends in data over time
7. Scatter Diagram - Show how two types of data relate to each other.
What are the 6 outputs of Quality Control?
1. Quality control measurements - results of inspections
2. OPA updates
3. PMP updates
4. Validated deliverables and validated changes
5. Change Requests
6. Project document updates
Describe Perform Quality Assurance Process
In the Perform Quality Assurance process you take all of the outputs from Plan Quality and Perform Quality Control and look at them to find ways to improve your process. If found improvements, then recommend changes to process and project plan.
What are the 4 inputs to Quality Assurance?
1. Quality Metrics
2. Quality Control Measurements
3. Work Performance Information
4. Project Management Plan
What are the 4 tools in Quality Assurance?
1. Plan Quality tools and techniques
2. Perform Quality Control tools and techniques
3. Quality Audits - reviews of project by the company to determine if following company process
4. Process Analysis - work to improve process. Use process improvement plan
What are the 4 outputs for Quality Assurance?
1. PMP Updates
2. Change Requests
3. Project Document Updates
4. OPA Updates
Contrast Kaizen, Just-In-Time and Plan-Do-Check-Act quality assurance ideas.
1. Kaizen - continuous improvement. Focus on making small improvements and measuring their impact.
2. Just-In-Time - keeping only the inventory you need on hand when you need it. Quality is really important since there isn't any extra inventory to deal with mistakes
3. Plan-Do-Check-Act - Make small improvements and measure how much benefit they make before you change your process. Deming cycle
What are control charts, control limits?
Control Charts - visualizes process over time using statistical chart with mean, upper and lower control limit
Control limit - The area composed of three standard deviations on either side of the centerline, or mean or a normal distribution of data plotted on a control chart that reflects the expected variation of data