Innovation and R&D
Testing, Statistical Methods and R&D
Article 12 part 1
Read Time 5 Minutes
In Part 10 of this series on Innovation and R&D, I talked about the Design of Experiments for New Product Development. In Part 11, I touched upon Statistical Process Control.
Why Testing and Statistical Methods?
In this article, I will talk about Testing and Statistical Methods in R&D for quality improvement. Why so much emphasis on Statistical Methods? Because every measurement has an error and we need to make sound decisions in presence of these errors (uncertainty). Statistical thinking provides us with a solid science to help us improve quality and productivity, predictively.
In chemical Industry when we talk about Testing we typically talk about Testing Methods for yield, conversion, purity, impurities; we also talk about sophisticated testing methods such as GC, GPC, LC, IR, NMR, AA, UV, etc. etc.
However, in R&D we seldom talk about Testing for Quality, Quality Control Charts, QC Sampling Plans, etc.
We need to.
As R&D Scientists, we need to be Technology Visionaries/Czars and ensure that not only we provide a good recipe and process to Manufacturing for productivity and quality but also provide PokaYoke – mistake proofing, a full proof method for delivering the same performance, batch to batch, lot to lot, day in and day out, month after month, and year after year.
Taguchi: Quality(lack of) is Loss to Society
Dr. Genichi Taguchi provides a very broad measure of quality - Quality (cost of) is Loss to Society. If you see waste, you see loss to society! More importantly, if you see waste, you also see an opportunity for quality improvement, an opportunity for contribution to society.
As a simplistic example of Taguchi thinking, Dr. Deming used to quote a relationship between a Japanese Tire Producer and its customer, an Auto Maker. For billing and payment purposes, the Auto Maker asked the Tire Producer, “How should they be paid?” The Tire Producer said, “Just count the number of cars you produced and multiply that by five (four plus a spare). Pay us for the tires sold.” No weekly/monthly exact counts of shipments, No exact weekly billing and payments; use just estimates. No inventory management, no audit trails. Lower cost for the Tire Producer, lower cost for the Auto Maker. A win-win for both the customer and the supplier.
Dr. Taguchi cited another example: Disposable paper napkins for use in bathrooms. A Japanese paper mill studied the problem; they found that if they make thinner paper napkins, consumers use several napkins to dry their hands. If they make the napkin slightly thicker, only one napkin will suffice for drying hands. They should charge a higher cost for each napkin, make slightly higher profit, but reduce total costs for the users. This will result in less paper waste, less trash, less recycle, less pollution. Loss to society is reduced. Everyone wins.
Quality Failure can be Costly
Here is a recent example. “How Tap Water Became Toxic, in Flint, Michigan” CNN News January, 2016. The City of Flint in Michigan is bankrupt. The State Governor, appointed a Czar, a City Manager, to make all decisions for Flint to save money. The City Manager decided that instead of using water supplied by City of Detroit, from Lake Huron, Flint should use cheaper Flint River water. Citizens complained, to no avail. Now 60,000 residents are affected with water with 40% of the samples with 5 ppb or higher lead content. The River water is so acidic, lead plumbing in older city pipes started dissolving. All the older city pipes may have to be replaced. Young kids may have to be monitored for years for brain damage. All citizens are now being supplied, bottled water for cooking. “A 2011 study on the Flint River found it would have to be treated with an anti-corrosive agent for it to be considered as a safe source for drinking water. Adding that agent would have cost about $100 a day, and experts say 90% of the problems with Flint’s water would have been avoided.” [ref. 1]
Quality Problems in Indian Pharma Industry
Indian pharma industry is replete with quality problems. A few years ago Indian pharma giant Ranbaxy was fined US $500 Million dollars by US FDA. [ref. 2] The Bloomberg article Indian Labs Deleted Drug Test Results[ref. 3] cites Sun Pharma and a dozen other Indian pharma companies. Specific plants have been banned from export to U. S. [see also ref. 4 and 5]
Here are some interesting data from Bloomberg[ref. 3]:
Mukul is bilingual. He speaks Chemical Engineering and Applied Statistics.
As a Senior R&D Manager, Statistics and Computer-Aided Research at BF Goodrich Chemical, he championed the use of Design of Experiments (DOE) for predictive modeling, performance optimization, scale-up, and quality control.
Currently, he is the Founder and President of FastR&D, LLC, based in Cleveland, Ohio.
Over his career, he has trained nearly 1,000 R&D scientists, engineers, and senior executives. He has led 750 DOE studies across industries including chemicals, food, polymers, plastics, pharmaceuticals, and medical devices. His projects range from scaling up a one-inch fluid bed reactor to an 18-foot production reactor, to optimizing the design of a tiny angioplasty device for renal artery denervation and blood pressure control.
Mukul has advised numerous Fortune 1000 chemical firms on innovation, rapid new product development, and managing NPD as a structured business process.
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