Project Quality Management

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

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