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Validation Testing Support
Assistance & follow up with application of the Taguchi experimental technique to plan and execute validation testing.

What you do:

- Identify product requiring validation testing

- Form project team and appoint leader

We provide you with application support & follow-up to completion:

• Validation Test Planning

• Design Optimization

• Problem Solving

Press Release: (Click here or read below)

Test SMARTER. Use Design of Experiment (DOE) technique to plan tests.

How you benefit:

- Lay out  test plan to validate performance statistically and with minimum cost

- Gather better understanding of the factor influencing performance

- Learn what to do to make products robust

Many products, machinery, and equipments must perform under uncontrollable and extreme environments such as temperature, humidity, gravity, corrosive and electro-magnetic atmospheres. While these factors are recognized as uncontrollable noise factors during the design process, they need to be treated as real factors to perform validation testing. The shear number of such factors, however, make it very difficult to determine worst performing condition, or even to test all possible condition. Use of the design of experiment (DOE) technique can drastically reduce the cost of validating performances of your products under specified and extreme application environment. 

An example of robustness is the McDonalds fast food company.  The company, not known for gourmet meals, is famous for its signature “Big Mack and Fries” which look, taste and feel the same anywhere in the world. Another example is the Toyota Camry.  To many people the Camry is a boring car, but it outsells any other automobile in the country, because it consistently does what its owners expect for as long as they own it. 

Robustness is not an accident.  First a product or service is defined as robust at the concept stage. Then it is subjected to rigorous design, development testing to achieve optimization before it is released to final users.  The number of variables that must be considered is large.  Consequently, a comprehensive test program can be lengthy and expensive.  Indeed most companies, when faced with the cost and duration of rigorous testing opt instead to let the final user do much of the testing, and risk damage to reputation, profitability and even long term survival.  Nutek has addressed this challenge. 

Nutek provides a specialized service that reduces the cost of robust optimization testing to such a low level that it can be afforded by any quality conscious company, big or small. 

Companies use Nutek’s support to layout experimental plans for both products and production processes and to analyze the results.  This is achieved through the use of Nutek’s proprietary Qualitek-4 analysis software which is developed from DOE (Design of Experiments) technology and the work of Dr. Genichi Taguchi.  Qualitek-4 dramatically reduces the number of experiments necessary to achieve optimization, thereby slashing both cost and duration.  In addition Nutek employs the Taguchi QLF (Quality Loss Function) to determine the likely cost effect of individual test results.  The output is a set of critical design parameters for both products and associated processes. Client companies can then convert these parameters into intelligent tolerances for size, strength and performance and achieve truly robust world class products or services.

When you select us to support you with your robust design projects, we will support your project in the following three major phases.

Phase-I    Facilitate Brainstorming
This is the most critical phase in the DOE application process and must be done on-site with the project team (generally a one-day session). Here our specialist will work with your project team and facilitate the brainstorming session.

Phase-II     Lay out Test Plan and Prescribe Data Collection Procedure
Work in this phase is generally done at Nutek. A successful planning session produces all information necessary to layout the tests for validation. The size of the experiment designed depend on the number of factors. Based on the designed experiment, individual test conditions are described.

Phase-III     Analyze Results and Report Findings
Results of tests carried out contain a vast amount of information. But there are FOUR basic categories of information which even the smallest (L-4 experiment with 1 sample/trial) experiment can yield. Analysis of DOE results contain information such as: (1) Factor Influence (Factor average effect or Main effect), (2) Relative influence of the factors to the variation of results (ANOVA, which is short form for Analysis of Variance), (3) Extreme Test Condition, and (4) Expected performance at the extreme condition. Other types of information like Confidence level, Significance tests, Confidence Interval (C.I.), Loss, etc. are easily obtained with slight additional effort.

(Click here to review: List of Nutek Client Companies)

Example Application Projects:
(Refer to Example DOE/Taguchi Case Studies included in this site for detail DESIGN and ANALYSIS, and PRESENTATION)

(Click here to review: List of Nutek Client Companies)