|Nutek, Inc. Quality Engineering Seminar, Software, and Consulting ( Since 1987) Testimonial site|
Testimonials from our
Participants & Hosts (Click here for - List of Nutek Clients)
|(Review Testimonial from ASQ-LA on Training Skills-pdf|
Dr. Roy's teaching of the Taguchi approach and his focus on the application method has provided a practical approach to meet our needs. Our use of the Qualitek-4 software automates experiment layout and perform complex calculations to speed our experiment designs with effective solutions. Dr. Roy's consulting services also been helpful to solve several challenging experiments. We look forward to continuing our relationship with Dr. Roy to assist Powertrain Operations in our continuous improvement efforts.
Tom Dold, TI Automotive North America, Warren, MI.
"This would be a great disciplines to structure our experimental studies related to vinyl siding fabrication line." - Tom Gates, Certainteed Corp. Jackson, MI.
"By completing this seminar, I feel self-confident to use DOE in real environment such as manufacturing, design, and development." - Tadej Sircelj, Grosuplje, Slovenia.
"This has been an excellent experience for me. Use of the software to take care of all design situations and calculations of results, is most helpful" - Quality Manager, Pretium Packaging LLC. Muscatine, IA..
"The instructor maintained an excellent and understandable pace of instruction throughout the course." - Quality Engineer, Valeo Climate Control, Auburn Hills, MI.
"Instructor is very knowledgeable in the subject and was able to relate to practical uses as well as theoretical bases for the analysis" - Vince Chacon, NASA Dryden Flight Research, Edward, CA.
"I have an immediate need to apply the technique to my projects, and this seminar helped me learn how to apply right it away." - Amir Jiwani, Application Engineer, Industrial Tools Inc., Oxnard, CA.
"Dr. Roy is an excellent instructor and can explain difficult concepts in an understandable manner. I feel I learned a great deal." - Rick Bauer, Cardinal FG, Menomonie, WI.
"The program is very informative and the instructor provided good examples to help us understand ideas by explaining it different ways." - Scott Oldani, Belleville Shoe Manufacturing Co. Belleville, IL.
"The structured discussions in experiment planning will be most helpful to my activities. Also the ability to translate improvement into dollars using the Loss Function is something very attractive." - Barbara Schiller, Eagle Ottawa, Rochester Hills, MI.
"The instructor is very knowledgeable and makes use of simpler examples to clarify finer concepts of the technique. I hope to use the technique for trouble shooting and problem investigation. " - Solvey Advance Polymers, Apharetta, GA.
"My application is in product testing and validations. This session gave me the ability to confidently dispel some of the misunderstandings and most economically layout my product performance & durability tests." - John Wajenski, Sr. engineer, Lockheed Martin, Owego, NY.
"In terms of being a
reference for your services here in DaimlerChrysler, absolutely. You did an
excellent job with the training provided to the DaimlerChrysler Quality
Institute. From a measurement point of view, the participants scored the class
4.4 on a 5 point scale and 4.8 on satisfaction with the instructor. These
numbers speak for themselves on the quality of your services.
Mike Groszko, Manager - DaimlerChrysler Quality Institute
"Ranjit: It was very good to speak with you last week.
remember discussing with you after class your teaching skills. You have the
gift to be able to communicate effectively, not all teachers
Industrial Equipment Division]
Dear Dr. Roy,
I would like to express our satisfaction for the excellent Design of Experiment seminar which you provided at the John Deere Dubuque Works this spring. At the conclusion of the seminar we received very good feedback on the level of instruction and in particular your enthusiasm and breadth of knowledge on the subject matter.
While positive feedback at the conclusion is important, the true test of a good class is whether or not the materials presented will change the way we do our business. I'm very happy to report that several engineers have incorporated the Design of Experiment approach into their engineering toolbox and have made decisions based upon its output. Because of our successful usage of the Taguchi-based design of experiment methodology, I like to extend to you an invitation for another seminar in Dubuque this spring.
Thank you for your service and look forward to seeing you again next year.
Brian J. Rauch
[Ford Motor Company. Sharonville, OH]
Nutek has conducted several Design of Experiments - Taguchi Methods training sessions at Ford Sharonville Transmission Plant, the most recent in 1/93. We have received positive feedback from our employees and we are in hopes of retaining Nutek services for another class in 1994. The subject matter was taught in a clear and concise manner and our employees felt comfortable in asking you questions throughout the 32 hours of the class.
Our feedback indicates that the software portion of the class enhanced their ability to properly construct and execute a Taguchi DOE for optimum results. Our employees routinely use the software now when doing a DOE.
Personally, I want to thank the instructor to rearrange the schedule to accommodate our needs in conducting the last two classes. The training class was in demand and the attendees were able to accomplish their project goals within the planned time frame.
Jean D. Holcomb
Dear Mr. Roy, Thank you for conducting the workshop sessions on applications of Parameter Design at our Quality Conference in Cleveland this year. The feedback has all been positive, the attendees found your session interesting and informative with good potential applications for them in future.
I would like to take this opportunity to thank you for the excellent instruction provided during the DOE course last month.
I have talked to most of the participants in person and read all the course evaluations and the response was very positive. Everyone felt that the course gave them a complete understanding of the Taguchi DOE methodology and most could immediately see an application in their day-to-day work.
I personally felt that you approached the subject (Taguchi DOE) in a very systematic way and therefore was easily understood. You provided excellent examples and exercises that allowed for a complete understanding of the subject. I would recommend this course to anyone who is missing this tool from their tool box.
[Tri-State Quality Manufacturing Conference]
Dear Dr. Roy,
Congratulation on a most excellent presentation at this year's 49th Annual All-Day Quality Conference sponsored by American Society for Quality, Section 0905.
The post conference survey indicated that quality improvement was of far more interest than quality planning, or assurance. Whether due to this interest or other reasons, your presentation was voted the most valued presentation of the ten offered.
Many thanks for helping make our conference a great success.
Stepjhen Rowe, Ph.D
List of courses that Dr. Roy has taught at FTDC:
Under the FTDC standard certification used in all Quality/Relibility/SixSigma/Ford Technical Education Program courses, all qualified instructors are required to go through .....
Roderick A. Munro, Ph.D.
Jose Mora, President, Atzari,Inc. has endorsed your work as Owner at Nutek, Inc.. Oct. 11, 2007
Dear Ranjit K.,
Taguchi's design of experiments methodology is a systematic evaluation of two or more input factors at randomized and varied levels for their contribution to product or process variation. The use of these methods truly leads to process understanding and characterization. Qualitek-4 by NUTEK effectively harnesses the power of Taguchi.
The package's capabilities include the use of L-4 to L-64 arrays. Two to 63 factors may be selected, with two, three and four levels to each factor. Data-analysis options offer the choice of standard or signal-to-noise analysis with choices of bigger, smaller or nominal-is-best categories for quality characteristics. The standard analysis identifies which factors affect the average response, whereas the signal-to-noise analysis consolidates several data points into one value that reflects the amount of variation present.
The manual design option presents a spreadsheet-style input screen that allows advanced users the choice of which array to use and the freedom of placing factors into the columns provided. By clicking the Set Interactions button, users can indicate which column represents the interactions of specified factors.
The automatic design option allows Qualitek-4 to select the array used and assign factors to the appropriate columns. This feature is a real timesaver, especially for users less familiar with DOE. The program prompts users to enter the critical design information into a dialog box that offers a number of multiple-level factors to choose from. I tried quite a few combinations of experimental designs and found that the software could suggest an array for each.
Both options can design simple experiments using only an inner array, and experiments that formally incorporate uncontrollable or noise factors into the outer array. In both design modes, Qualitek-4 assists users by suggesting possible interaction columns at the click of a button. Once a design is established, entering experiment trial results is an easy task. Qualitek-4 uses spreadsheet-style input screens here, too.
After entering results, users can analyze the data. This is where the software's true power emerges. The package does an excellent job of presenting results in a logical fashion with very detailed graphics available for selection.
or signal-to-noise analysis. The only difference is that standard analysis utilizes averages or, in the case of a single column of data, a single measurement point, whereas the signal-to-noise analysis is based on the signal-to-noise ratio.
To view the analysis data, users first must select whether the quality characteristic is bigger, smaller or nominal-is-best. The experimental results then show up on the screen, with the option to view a bar graph that compares the average or signal-to-noise ratio for each trial. If there are multiple data entries for each trial, each bar in the graph will have a shaded portion that represents the amount of associated variation present in that trial.
The next screen shows the main effects, with a column that represents the average effects. At this screen, users can view the interaction plots. The resulting tables and graphics are well-done; they are one of the software's best features. Another nice touch: All interactions may be generated automatically and viewed as graphs.
Next, the ANOVA table offers some good features. Qualitek-4 enables users to either manually pool the ANOVA results or it does it for them. The last screen, Optimum Conditions and Performance, is the basis for the confirmation experiment. Users can perform a what-if analysis by clicking on the Estimate button. By entering different levels of factors, the software will compute the expected performance levels for that combination.
Context help screens and online help are both done well. However, some additional Taguchi theory entries would be helpful. The user manual gives a good overview of the package's capabilities. Ranjit K. Roy, the software's author, also wrote A Primer on the Taguchi Method, available through the Society of Manufacturing Engineers. One criticism: For the price of the software, a copy of the text would be a nice addition to the supplied material.
Overall, I highly recommend this package. The interface, while simple, offers various experimental design options. The excellent data-analysis capabilities serve to ease the interpretation process. Roy has done an outstanding job of presenting Taguchi methods to all potential practitioners.