Next Steps

Lesson 8: Recap the D. E. P. L. O. Y. Process

Let me begin by rehashing a first few paragraphs from the first lesson.

Albert Einstein, said:

Make things as simple as you can, but no simpler.

DEPLOY Process is a result of this thinking and my 40 years efforts at simplifying this difficult but vitally important science.

My goal for this DEPLOY FastR&D course is to get you started in 30-60 minutes.

I would like you to spend 15-30 minutes learning the basics of the DEPLOY Process.

Once you have learned the basics, I would like you to "Learn by doing." So the immediate next step would be to run the "demo" example. I will help you walk through the demo. Hopefully it will take no more than 15 minutes. Maybe as little as 5 minutes.

If you have more time, I highly recommend you repeat this simplified process.

When we are learning something new, our brain connects the related neurons and creates a new wiring and an insulation layer of myelin sheath. This myelin sheath allows electrical impulses to transmit quickly and efficiently along the nerve cells. The more we practice, thicker the myelin sheath, faster our recall.

For faster learning, build many layers of myelin.

For faster learning, experts suggest, do a new task, 3 to 5 times the first day, 2 to 3 times a day for the first week, and then at least once a week till you feel comfortable enough, and can explain to someone else, what you are doing, how you are doing it.( If you have purchased a subscription   FastR&D app is the new task for you to master. Practice, practice, practice.)

You may not be able to explain why, all the reasoning and technical details. But, you will be able to do that in due time with more practice, more questions and improved understanding.

So, Let us get started.

The D. E. P. L. O. Y.  Process has six steps:

  1. 1
    Define the Project Clearly.
  2. 2
    Establish Reproducibility
  3. 3
    Plan and Run Experiments
  4. 4
    Linear Model Building
  5. 5
  6. 6
    Yes, Play What If ...

We have covered the six steps quickly. Now you are familiar with them, have a at least a good feel for the power and value of the D. E. P. L. O Y. Process. How you can use the DEPLOY process for 

  • New Product(Process) Development
  • New Product(Process) Improvement
  • Manufacturing Tech Support
  • Customer Tech Support

Now I would ask you to wear your R&D Research Scientist hat again.

We started with a Thesis.

We ran several experiments in the lab.  

We analyzed he lab data, built models, identified one or more optimum.

Are we ready to write a technical report and share our findings?

Not yet!

We owe it to ourselves and our peers to test our findings.

Let us test our "optimum" in a SAFE laboratory settings.

Run t a few times.

Repeat a few times!

Confirm your key findings! 

You must Confirm your key findings in a SAFE Lab Setting.

When confirmed, you are ready to write a short report, ask FReD, the bot to help you out with the long, tedious, ugly part.

And celebrate!

If you can't confirm the findings, you need to rethink? What is working? What is  not? What are the next steps? 


This concludes our short D. E. P. L. O. Y. Process course.

If you have purchased the FastR&D software subscription, you are ready to take the next step. Use Cheesecake Demo data, run the software app, experience the power of FReD, the bot.

If not, may be you should purchase the software. You will recover your investment with just one run of FastR&D software app with your own lab data.  Go get a jump start {[[[

What have you got to lose?

About Author

Mukul Mehta

Mukul Mehta has over 40 years of proven industrial experience in chemical , polymer, and plastics industry. Worked as a Sr. Manager, Statistics and Computer Aided Research for BF Goodrich Chemical, a Fortune 500 company, and then as a software entrepreneur, promoted "quantitative, predictive modeling in one minute or less as a mantra for R&D and New Product Development." Many multi-million dollar successes for dozens of Corporate R&D clients in chemical and pharma industry. Trained over 750 R&D chemists, engineers and managers to Speedup New Product Development through statistical design of experiments.

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