1. Quality planning: identifying which quality standards are relevant to the project and how to satisfy them
2. Quality assurance: periodically evaluating overall project performance to ensure the project will satisfy the relevant quality standards
- Quality audit – structured review
- Benchmarking – ideas
3. Quality control: monitoring specific project results to ensure that they comply with the relevant quality standards
- Caused-and-effect diagrams trace complains about quality problems back to the responsible production operations.
- Control chart is a graphic display of data that illustrates the results of a process over time.
- Run chart – displays the history and pattern of variation of a process over time
- Histogram is a bar graph of a distribution of variables.
- Pareto Chart is a histogram that can help you identify and prioritise problem areas
- Flowcharts are graphic displays of the logic and flow of processes.
- Statistic sampling involves choosing part of a population of interest for inspection.
- Scatter diagram helps to show if there is a relationship between two variables.
4. Six Sigma is “a comprehensive and flexible system for archiving, sustaining, and maximizing business success.”
- Define: define the problem/opportunity, process, and customer requirements.
- Measure: Define measure, then collect, compile, and display data.
- Analyze: Scrutinize process details to find improvement opportunities
- Improve: Generate solutions and ideas for improving the problem.
- Control : Track and verify the stability of the improvements and the predictability of the solution