Extracts from Dr. Ginger Levin and J. LeRoy Ward - Quality
Quality assurance increases project effectiveness and efficiency and provides added benefits to project stakeholders. It includes all the planned and systematic quality activities to ensure that the project uses all the processes to meet requirements. Quality assurance should be performed throughout the project.
Benchmarking involves comparing actual or planned practices to those practices of comparable projects to identify best practices, to note ideas for improvement, and to provide a way to measure performance.
Design of experiments:
This technique is used to identify which variables have the most influence. It is a statistical method to identify the factors that may influence specific variables of a product or process under development or in production.
The Taguchi method is used to estimate the loss associated with controlling or failing to control process variablility. It is based on the principle that by carefully selecting design parameters to produce robust designs, an organization can produce products that are more forgiving and tolerant. The tool helps determine the value or break-even point of improving a process to reduce variablility.
Attribute sampling is concerned with conformance, whereas variables sampling is concerned with the degree of conformity.
Processes should be changed only thru established change procedures. If the process is outside acceptable limits, it should be adjusted.
Sampling and probability form the basis of statistical process control, which helps the team monitor project results for compliance with relevant quality standards so that methods can be identified to eliminate causes of unsatisfactory results.
Pareto diagrams are histograms, ordered by frequency of occurrence, that show how many results were generated by type or category of identified cause. The project team should take action to fix the problems that are causing the greatest number of defects first. Pareto diagrams are based on Pareto's law, which holds that a relatively smal number of causes will typically produce a large majority of defects, also called the "solzo rule".
In perform quality assurance, the interrelationship diagraph can be used as a quality management and control tool.
It may be developed from data generated by other quality tools such as the affinity diagram, the tree diagram, or the cause-and-effect diagram. It is an adoption of relationship diagrams.
Deming's fourteen points for management are goals of quality for transforming business for Top management.
The weighted Pareto analysis gives a measure of significance to factors that may not appear significant at first using such additional factors as cost, time, and criticality.
A basic Pareto analysis identifies the vital few contributors that account for most quality problems
Comparative Pareto analysis focuses on any number of program options or actions.
There are two types of control charts: Variable charts, which are used with continuous data, and attribute charts, for use with discrete data.
Attribute data have only two values (conforming/nonconforming, pass/fail, go/no-go, or present/absent)
Benchmarking involves comparing actual or planned practices to those practices of comparable projects to identify best practices, to note ideas for improvement, and to provide a way to measure performance.
Design of experiments:
This technique is used to identify which variables have the most influence. It is a statistical method to identify the factors that may influence specific variables of a product or process under development or in production.
The Taguchi method is used to estimate the loss associated with controlling or failing to control process variablility. It is based on the principle that by carefully selecting design parameters to produce robust designs, an organization can produce products that are more forgiving and tolerant. The tool helps determine the value or break-even point of improving a process to reduce variablility.
Attribute sampling is concerned with conformance, whereas variables sampling is concerned with the degree of conformity.
Processes should be changed only thru established change procedures. If the process is outside acceptable limits, it should be adjusted.
Sampling and probability form the basis of statistical process control, which helps the team monitor project results for compliance with relevant quality standards so that methods can be identified to eliminate causes of unsatisfactory results.
Pareto diagrams are histograms, ordered by frequency of occurrence, that show how many results were generated by type or category of identified cause. The project team should take action to fix the problems that are causing the greatest number of defects first. Pareto diagrams are based on Pareto's law, which holds that a relatively smal number of causes will typically produce a large majority of defects, also called the "solzo rule".
In perform quality assurance, the interrelationship diagraph can be used as a quality management and control tool.
It may be developed from data generated by other quality tools such as the affinity diagram, the tree diagram, or the cause-and-effect diagram. It is an adoption of relationship diagrams.
Deming's fourteen points for management are goals of quality for transforming business for Top management.
The weighted Pareto analysis gives a measure of significance to factors that may not appear significant at first using such additional factors as cost, time, and criticality.
A basic Pareto analysis identifies the vital few contributors that account for most quality problems
Comparative Pareto analysis focuses on any number of program options or actions.
There are two types of control charts: Variable charts, which are used with continuous data, and attribute charts, for use with discrete data.
Attribute data have only two values (conforming/nonconforming, pass/fail, go/no-go, or present/absent)
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