About my PERT++ and about productivity..

[Amine Moulay Ramdane]

Hello,


About my PERT++ and about productivity..

I have just written the following:

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Yet more political philosophy about quality control and quality..

I am a white arab and i think i am smart since i have invented many scalable algorithms..

So first you have to define quality(read below about it) and second
you have to construct quality and third you have to control quality.

So, I have just read the following about the Central Limit Theorem
(I understood it), i invite you to read it carefully:

https://www.probabilitycourse.com/chapter7/7_1_2_central_limit_theorem.php


So as you are noticing this Central Limit Theorem is so important
for quality control, read the following to notice it(I also understood Statistical Process Control (SPC)):

An Introduction to Statistical Process Control (SPC)

https://www.engineering.com/AdvancedManufacturing/ArticleID/19494/An-Introduction-to-Statistical-Process-Control-SPC.aspx

Also PERT networks are referred to by some researchers as "probabilistic activity networks" (PAN) because the duration of some or all of the arcs are independent random variables with known probability distribution functions, and have finite ranges. So PERT uses the central limit theorem (CLT) to find the expected project duration.

So, i have designed and implemented my PERT++ that that is important for quality, please read about it and download it from my website here:

https://sites.google.com/site/scalable68/pert-an-enhanced-edition-of-the-program-or-project-evaluation-and-review-technique-that-includes-statistical-pert-in-delphi-and-freepascal

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So I have provided you in my PERT++ with the following functions:


function NormalDistA (const Mean, StdDev, AVal, BVal: Extended): Single;

function NormalDistP (const Mean, StdDev, AVal: Extended): Single;

function InvNormalDist(const Mean, StdDev, PVal: Extended; const Less: Boolean): Extended;

For NormalDistA() or NormalDistP(), you pass the best estimate of completion time to Mean, and you pass the critical path standard deviation to StdDev, and you will get the probability of the value Aval or the probability between the values of Aval and Bval.

For InvNormalDist(), you pass the best estimate of completion time to Mean, and you pass the critical path standard deviation to StdDev, and you will get the length of the critical path of the probability PVal, and when Less is TRUE, you will obtain a cumulative distribution.


So as you are noticing from my above thoughts that since PERT networks are referred to by some researchers as "probabilistic activity networks" (PAN) because the duration of some or all of the arcs are independent random variables with known probability distribution functions, and have finite ranges. So PERT uses the central limit theorem (CLT) to find the expected project duration. So then you have to use my above functions
that are Normal distribution and inverse normal distribution functions, please look at my demo inside my zip file to understand better how i am doing it:

You can download and read about my PERT++ from my website here:

https://sites.google.com/site/scalable68/pert-an-enhanced-edition-of-the-program-or-project-evaluation-and-review-technique-that-includes-statistical-pert-in-delphi-and-freepascal


And about productivity, read my following smart thoughts to understand:

https://community.idera.com/developer-tools/general-development/f/getit-and-third-party/73133/about-productivity


So as you are noticing i am saying:

"Since we have that Productivity = Output/Input

But better human training and/or better tools and/or better human smartness and/or better human capacity can make the Parallel productivity part much bigger than the Serial productivity part, so productivity can scale much more (and it is like Gustafson's Law)."


So as you are noticing that my answer about productivity is smart.



Thank you,
Amine Moulay Ramdane.