Is it necessary to have a prediction model for L4 and L5?
I collect data from different projects and put them in a 3 sigma band and take care of outliers. Then I compare the mean and standard deviation of current PBB with previous PBB. And I also check against the LSL and USL set by the management team the trend coming out of this PBB. In case the mean, SD, LCL and UCL decrease from the previous PBB, I update the management team and we check the projects on the basis of this.
What happens when I talk to someone in my circle of friends they talk about regression, simulation, Monte Carlo, etc. In my organization we need to show process performance against set targets, so why make life so complex with so many above mentioned methods?
From what I can glean from your question is that you have developed a Process Performance Baseline (PPB). But I have no idea why you have done this and what value you are getting from knowing this PPB. What use is it to your organization? How does it help you meet your Quality and Process Performance Objectives (QPPOs) and your business goals?
If you are not interested in fully implementing ML 4 or ML 5, then I suppose you don’t need anything else as long as you are deriving some sort of benefit from this PPB. However, for a complete High Maturity implementation, you are expected to do the proper statistical analysis of data distributions, probability statistics, process engineering, etc. to derive appropriate PPBs and PPMs. And to be a PPM instead of merely a forecast model and be of use for "what-if" analyses, the PPMs must contain controllable factors that have an impact on the outcome.
Also, if you want to implement ML 4 and/or ML 5, then you need to have established organizational QPPOs, a number of PPBs that support the QPPOs and can be used to evaluate the feasibility of achieving them, and a set of Process Performance Models (PPMs) that are derived from your historical data that are used in conjunction with the PPBs to predict each project’s ability to meet its QPPOs, as well as a number of other activities.
Therefore, if all that you have is one PPB and nothing else, you only have a partial implementation of OPP and still have a lot of work ahead of you before you can consider that you have implemented ML 4, let alone ML 5.
I collect data from different projects and put them in a 3 sigma band and take care of outliers. Then I compare the mean and standard deviation of current PBB with previous PBB. And I also check against the LSL and USL set by the management team the trend coming out of this PBB. In case the mean, SD, LCL and UCL decrease from the previous PBB, I update the management team and we check the projects on the basis of this.
What happens when I talk to someone in my circle of friends they talk about regression, simulation, Monte Carlo, etc. In my organization we need to show process performance against set targets, so why make life so complex with so many above mentioned methods?
From what I can glean from your question is that you have developed a Process Performance Baseline (PPB). But I have no idea why you have done this and what value you are getting from knowing this PPB. What use is it to your organization? How does it help you meet your Quality and Process Performance Objectives (QPPOs) and your business goals?
If you are not interested in fully implementing ML 4 or ML 5, then I suppose you don’t need anything else as long as you are deriving some sort of benefit from this PPB. However, for a complete High Maturity implementation, you are expected to do the proper statistical analysis of data distributions, probability statistics, process engineering, etc. to derive appropriate PPBs and PPMs. And to be a PPM instead of merely a forecast model and be of use for "what-if" analyses, the PPMs must contain controllable factors that have an impact on the outcome.
Also, if you want to implement ML 4 and/or ML 5, then you need to have established organizational QPPOs, a number of PPBs that support the QPPOs and can be used to evaluate the feasibility of achieving them, and a set of Process Performance Models (PPMs) that are derived from your historical data that are used in conjunction with the PPBs to predict each project’s ability to meet its QPPOs, as well as a number of other activities.
Therefore, if all that you have is one PPB and nothing else, you only have a partial implementation of OPP and still have a lot of work ahead of you before you can consider that you have implemented ML 4, let alone ML 5.
2 comments:
Hi,
If that can help you hereafter is a example of an Error & Defect prediction method.
http://www.doyoubuzz.com/var/users/10194/portfolios/10572/document/document_1265059818.pdf
BR,
Stéphane.
Thank you very much for a good example of a prediction model. This type of model is great for forecasting or estimating. But for a PPM, that needs to contain factors that can be controlled procedurally to predictably affect the outcome.
Post a Comment