Quality Planning. – ppt download
Presentation on theme: “Quality Planning.”— Presentation transcript:
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Quality Planning
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Quality Planning Definition Grade Statistics Quality Planning Tools
Control limits Normal Distribution Standard deviation Quality Planning Tools Measurement terminology Tolerances Defining and meeting client expectations Quality Assurance
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Before we start During my, Ziko, HP orientation in late 1984, someone said: “You can’t manage what you don’t measure” and it stuck to my head. What does the above statement mean? I have also heard quality experts say: If you can’t measure it, you can’t improve it!
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Definition of Quality PMBOK Guide V.5:
“Quality – The degree to which a set of inherent characteristics fulfills requirements. Conformance to requirements: The project’s processes and products meet written specifications Fitness for use: A product can be used as it was intended
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Cost of Quality The cost of quality is the cost of conformance plus the cost of nonconformance: Cost of Conformance means delivering products that meet requirements and fitness for use Cost of nonconformance means taking responsibility for failures or not meeting quality expectations
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Grades as a measure of quality
Pre-set standards Octane rating for gasoline Horsepower in cars Lumber graded for appearance, strength Steel and other commodities
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Using statistics to measure and manage quality
Control limits Upper and lower standards for allowable variation Central limit theorem Frequency distribution Discrete math— “bins” –count the number of measurements that fall in each bin Normal distribution– “bell-shaped curve”
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Measuring your products
Options: Measure entire population: When does this make sense? Sampling Smaller amount of data to work with: What is the appropriate percentage? Sometimes measuring destroys the sample: Destructive testing
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Normal Distribution Figure 18.2.2 One Sigma Range
Source:
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Normal Distribution Standard deviation
Calculate the mean (or average value) of all measurements Subtract EACH measurement from the mean Square EACH difference Sum the values Divide the sum by ( (number of values) – 1 ) Take the square root Result can be thought of as the average difference
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The 68-95-99.7 Rule Figure 18.2.3 The 68-95-99.7 Rule
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Sigma Levels Figure 18.2.4 Meaning of Sigma Levels
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Quality Plan The quality plan specifies the control limits
Often written as the mean ± the acceptable variation The size of the range is called the tolerance May specify material to be used May include people training May include quality tools
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Quality Assurance (QA)
A program for the systematic monitoring and evaluation of the various aspects of a project, service, or facility to ensure that standards of quality are being met: Benchmarking: Comparing your product/service/process quality to key competitors Quality Audit: is the process of systematic examination of a quality system carried out by an internal or external quality auditor or an audit team
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Quality Control (QC) An aggregate of activities (such as design analysis and inspection for defects) designed to ensure adequate quality especially in manufactured products: Acceptance decisions Rework Process adjustments
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Quality planning techniques
Cost-benefit analysis Benchmarking Experimentation design Control Charts Cause and Effect diagrams Pareto diagram Flow charts
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Control Charts (SPC)
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Cause-and-Effect Diagram (aka fishbone diagram)
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Pareto Chart
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Flow Chart (traditional)
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Flow Chart (swim lanes)
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TQC/TQM (never ending cycle)
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Quality Responsibility
Who is most responsible for quality on a project: Sponsor? PM? Team members? Who is most responsible for quality in a Company: CEO? PMs? Employees?
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Summary Purpose of Quality Management: Ensured by
Build confidence in clients that quality standards and procedures are being followed Ensured by Internal review of plan Testing Revising policies External Review or audit
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Questions?
