Steps involved in PPM usage

  • Define project (say project X) goals based on the organization’s process performance objectives and customer requirements.
  • Ensure the validity of using organization PPM and Baselines. If the data used by organization for making baselines and models are not at all similar to the project X, then those models can not be used inside the project. In such cases if the project X is having any kind of past historical data, the project team can make their own PPMs.
  • Check the probability of achieving the project goals with the PPM.
  • The independent parameters/sub process measures influencing dependent parameter/PPOs is defined in process performance model.
  • Definitely with the current performance of sub process measures, the PPOs can not be achieved. Improvement initiatives needs to be identified and action taken as in article HM Practices in a CMMI ML 5 Organization.
  • After substituting the anticipated sub process specification limits in PPM, check the probability of achieving PPO. If probability value is acceptable (above the critical probability value defined by the organization), continue with the new process . If not, identify more improvement initiatives and repeat the steps till PPOs are achievable with an acceptable probability
  • Identify the critical sub process parameters for quantitative and statistical management
  • Do Run time monitoring, root cause analysis and PPM calibration
This entry was posted in CMMI.

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The author is a Quality Assurance professional by experience. Part Quantitative data analyst, part consultant for quality and information security practices, part software tester, she is a writer by passion and blogs at https://wordsandnotion.wordpress.com and http://qualitynotion.com/.

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