| Nutek, Inc. Quality Engineering Seminar, Software, and Consulting ( Since 1987) You are at Other Seminar site |
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Sem-DOET
| Module Summary |
Design of Experiment (DOE) is a powerful statistical technique for
improving product/process designs and solving production problems. A
standardized version of DOE, as forwarded by Dr. Genichi Taguchi ,
allows one to easily learn and apply it in manufacturing and production
problem investigations. Since its introduction in the
U.S.A. in early 1980’s, the Taguchi approach
of DOE has been a design optimization tool commonly used by engineers and
scientific professionals by most industries. |
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In this brief tutorial you will gain an understanding of the technique in layman’s term. A simple example experiment will be used to demonstrate the technique of experiment design and analysis of results. Advance concepts in Taguchi approach and complex analysis tasks will also be demonstrated by use of computer software. This session will be helpful to managers, engineers, and other quality professionals who may be involved in quality improvement activities or otherwise responsible for such skill building decisions. Upon completion, the attendees develop an understanding of the applicability of the technique and are expected to learn how to setup smaller experiments and quickly investigate their own applications.
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Discussion Topics
Project objective Evaluation Criteria Experiments designed using orthogonal arrays Experiments to study interaction Basic analysis and strategy for experimentation Strategy for Robust Designs New attitude toward uncontrollable factors Outer array for robust design Demonstration of Experiment Design and Analysis using Software (Qualitek-4)
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| Who Should Attend |
Product/Process Design
Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager, Director
or Senior Engineer (who wish to lead, teach, and introduce this technique
within your organization), Instructor in academic institution, Consultant
and Trainer (who wish to help their clients work with interdisciplinary
teams and optimize product designs and solve production problems)
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| Deliverables |
This overview session will offer you an overview of the Taguchi experimental
design approach for robust product and process designs. The goal is to make
you knowledgeable about the technique so that you may decide whether it is a
technique that you may desire and who in your activity might benefit such
skills. Attendees will receive brief seminar presentation materials.
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| Prerequisites | There is no minimum educational background requirement for this seminar. However, two or more years of college education in any field of science or engineering are helpful. | |
Program Length |
1 Day Overview |
| Robust Product and Process Designs (The Taguchi Approach) Click here for public seminar in Detroit area. |
| Module Summary |
Course Overview Robustness is an essential characteristic for dependable performance. Robust products and processes perform reliably with minimum variation due to uncontrollable factors. Naturally, to assure consistent performance, the designs must be robust. Dollar for dollar, the return on investment is the most when design improvement efforts are directed toward the development activities. One of the effective ways to reduce variation in performance that potentially results in reduced rework and rejects downstream, is to use the standardized version the Design of Experiment (DOE) technique proposed by Dr. Genechi Taguchi. This approach allows scientific professional to easily learn and apply the DOE technique in their own development and production projects. Today, robust design technique is considered a necessary effort for building quality into products and processes of all kinds. In this seminar Dr. Roy will take you through the basic steps in the Taguchi approach for robust product and process designs. Participants are required to solve numerous hands-on exercise to learn how to apply the technique immediately in their own projects. The course discussions cover topics such as PLANNING, EXPERIMENT DESIGN, ROBUST DESIGN strategy and LOSS FUNCTION in details. Discussions of theories and statistical computations are kept to a minimum. By completing this course, the attendees are able to apply the robust design technique in their own projects to (1) Optimizing product/process designs, and (2) Solve production problems. |
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Topics of DiscussionDAY 1
DAY 2
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DAY 3Understanding dynamic systems Analysis of Results
Performance at optimum condition
Transformation of S/N data Brainstorming for experimental design
Participants and facilitation of planning DAY
Computer Software (Qualitek-4)
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| Who Should Attend |
Product/Process Design
Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager, Director
or Senior Engineer (who wish to lead, teach, and introduce this technique
within your organization), Instructor in academic institution, Consultant
and Trainer (who wish to help their clients work with interdisciplinary
teams and optimize product designs and solve production problems)
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| Deliverables |
This 4-day seminar will prepare you for immediate applications. The goal is
to make you ready to apply the technique in your performance improvement and
variation reduction projects. You will know how to plan, and lay
out experiments.
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| Prerequisites |
There is no minimum educational background requirement for this seminar.
However, two or more years of college education in any field of science or
engineering are helpful.
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Program Length |
4 days Click here for more details about public seminar and onsite seminar. |
| Production Problem Solving by Designed Experiments - Application Consulting |
| Module Summary |
Design of Experiments
(DOE) is en effective tool to investigate problems suspected to be
influenced by multiple variables. Our support services is designed to work with
your project team to facilitate application of this technique from start to
finish. Our consultant will work with your team leaders and internal quality
champions to PLAN, DESIGN EXPERIMENTS, and ANALYSE RESULTS of the Taguchi experimental
applied to solving engineering and production
problems. Use of this technique to study production and process
related problems may be part of your Design For Six Sigma (DFSS)
or other quality improvement disciplines. |
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BUY: |
Background When is a problem a PROBLEM? A vast majority of the “Problems” in the manufacturing floors are of two kinds. The first situation is where nobody seems to have an answer. And the other kind is where everyone claims to have an idea, but none seem to work as a permanent solution. So, how do you attack such problems? Solutions based on opinion or past experience may not cure the problem and you don’t seem to have time to take a close look at the problem. What you need is a structured and objective approach. Use of Design of Experiments can help you create such a structured and economical strategy. Participants in such application discussions learn how to handle production and manufacturing problems permanently with minimum time in experimenting. |
Our comprehensive support includes the following services:
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| Who Should Beneft |
Problem solving teams composed of
Product/Process Design
Engineer, R&D Scientists, production, and QA Personnel, Manager, Director or
Senior Engineer and technicians who wish to lead teams for investigation of
engineering and production problems, would benefit from this course.
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| Deliverables |
Our consulting support will help project teams successfully apply the
experimental design technique to investigate and solve production problems. It
will help you make decision based on experimental data. You will demonstrate how
common experiments are set up for problem investigations and how analysis of
test results yields lasting solutions to many of the chronic production and
process problems. |
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| Prerequisites | You should contact us when you are ready to (a) identify project, (b) form team, and (c) appoint team leader. | |
Program Length |
2 -5 days Click here for more details about our consulting services. |
| Module Summary |
Design of Experiment
(DOE) is a powerful statistical technique for improving product/process
designs and solving production problems. A standardized version of DOE, as
forwarded by Dr. Genichi Taguchi, allows one to easily learn and
apply it in manufacturing and production problem investigations. Since its
introduction in the U.S.A. in early 1980’s, the Taguchi approach of DOE has
been a design optimization tool in the hands of the engineering and
scientific professionals. This
seminar helps you acquire application skills necessary for design optimization
under Design For Six Sigma (DFSS) disciplines.
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| BUY: |
Topics of Discussion
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Trade off between factors and interactions Test for presence of interactions Test for relative influence of interaction Basic analysis and strategy for experimentation Dealing with mixed level factors Upgrading 2-level columns into a 4-level array Downgrading (dummy treatment) columns Over 15 different experiments using an L-8 array Experiment Planning Review TEAM: the new disciplines in workplace Order of discussions in planning session Participants and facilitation of planning Measuring cost of quality by Loss Function
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| Who Should Attend |
Product/Process Design
Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager, Plant
Managers and Production technicians. |
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| Deliverables |
This session will prepare you for immediate applications of common type of
experimental designs your own projects. You will learn how to plan,
and lay out experiments.
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| Prerequisites |
There is no minimum
educational background requirement for this seminar.
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Program Length |
3 days |
| DOE –II Advanced Experiment Designs for Robust Products and Processes (Taguchi Robust Designs) |
| Module Summary |
This seminar with
hands-on application workshop prepares attendees for immediate applications
of the Taguchi experimental design technique for product and process
improvement.
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| BUY: |
Topics of Discussion
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| Who Should Attend |
Product/Process Design
Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager, Director
or Senior Engineer (who wish to lead, teach, and introduce this technique
within your organization) |
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| Deliverables |
This seminar with application workshop will prepare you for immediate
applications of the Taguchi approach for designing robust products and
processes. The goal is to make you ready to apply the technique in your
performance improvement and variation reduction projects. You will know how
to plan, and lay out experiments.
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| Prerequisites |
Four years of college
education in any field of science or engineering is required. Have taken
DOE-I within last two years.
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Program Length |
3 days |
Sem-OECS
When the performance of a product or process under study is evaluated by
different criteria of evaluations, it is possible to combine them into a
single index for analysis of overall performance. This session will show you
a scheme of handling evaluations of multiple objectives together by
combining it into a single number called the Overall Evaluation Criteria (OEC).
The
OEC capability of Qualitek-4 software is used to combine and calculate the
single index before analyzing the results. You should consider attending
this session, if your products or processes have multiple objectives and you
are looking toward planning experiments to evaluate the results and
determine design specifications based on the overall performance.
Course Content
Introduction Situations and needs for
simultaneous evaluations Technical difficulties and
challenges in engineering practices Single index formulation – an
overall evaluation criterion Example calculations Application areas References
Sem-LOSS
Background
Evaluating and establishing
improvements we achieve in performance, cost or quality is common tasks we
perform at end of a project completion. Generally, we also express such
improvements achieved in terms of percentage of the current level of
performance. However, when asked to quantify the same improvement in terms
of dollars we seem to have difficult time. Fortunately, the Loss Function
formulation proposed by Dr. Genechi Taguchi allows us to translate the
expected performance improvement in terms of savings expressed in dollars.
Using the Loss Function concept, the expected savings from the improvement
in quality, i.e., reduced variation in performance around the target can be
easily transformed into cost.
Discussion Topics
With target value
General quality characteristics
When with known distribution parameters
Std. Deviation and Average Value
Sem-PS8D
For their own continuous quality improvement (quality system requirements,
QS-9000, 4.14.1) activities at all levels of engineering and manufacturing,
in early 1990’s Ford Motor Company introduced a standardized set of steps to
be followed in solving problems by quality improvement teams within the
company. These eight step process of problem solving is known as 8D (Eight
disciplines)* and is by far the common disciplines used and accepted by most
industries today. It is the basis for all subsequent problem solving
technique developments such as 6D, 7D, 9D and 10D.
This short session will present detailed discussions of the basic
disciplines involved in problem solving for all situations. This course will
provide the participants the information required to complete an 8D problem
solving process for the automotive manufacturers. In this session the
participant will learn the 8D process and be ready to begin to use the
discipline on actual problems in their own workplace. They will learn how to
effectively use a team approach to problem solving. The disciplines
prescribed offer the attendees a framework to utilize the experience and
expertise in their own activity and implement permanent solutions to the
problems encounter.
Discussion Topics
1.
Form Team
Sem-QOS1
This brief session will
provide an overview of Ford QOS requirements. Key information is provided
about QOS. Basic elements of QOS processes like customer expectations,
internal key processes, measurables for key processes, etc. are discussed in
details. Attendees will have chance to apply the concepts in hypothetical
business examples. By attending this session you will lean how to:
Discussion Topics
Module Summary
The need
for simultaneous evaluation arises when there are more than one objective
that a product or process is expected to satisfy. This session is intended
for experienced experimenters interested in designing experiments to
optimize multiple objectives simultaneously.
Who Should Attend
Product/Process Design
Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager, Director
or Senior
Deliverables
Prepares attendees for data reduction with a technique that allows
weighted scheme to satisfy multiple objectives. Attendees learn to apply
such model to their own analytical and experimental studies. Attendees receive
brief seminar presentation materials.
Prerequisites
Two or more years of college
education in any field of science or engineering are helpful.
Program Length
1 day
Click here for more details about OEC.
Module Summary
This seminar with
application workshop offers attendees’ opportunities to become proficient in
manipulating and quantifying product and process design improvements in
terms of dollars. Savings expected from potential variation reductions (in
warranty and rejects) are calculated using cost model proposed by Dr.
Genechi Taguchi.
Who Should Attend
Experienced DOE/Taguchi
practitioners in Product/Process Design Engineer, R&D Scientists, or QA
Personnel, Manufacturing. Manager, Director or Senior Engineer, Instructor
in academic institution, Consultant and Trainers
Deliverables
By completing this session you will acquire the necessary confidence to
carry out mathematical computations for converting performance improvement
into dollar savings. Attendees will receive seminar presentation materials.
Prerequisites
Attendees must have working knowledge of the Taguchi experimental design
technique. Completion of Taguchi Approach seminar is desirable. A college
degree in science or engineering is helpful
Program Length
2 days
Module Summary
Problems in business and industry occur in numerous nature and complexities.
Sub-quality parts produce by operator, machine, and equipment create one type of
problem. In other situations, the problem may be related to timeliness of
delivery and missing information or merchandise. While each problem has its
specific solution, and no two solutions are alike, there are a few basic action
steps, as described in this session, that all problem solving effort seem to
have in common.
Who Should Attend
Product/Process Design
Engineer, R&D Scientists, or QA Personnel, Manufacturing. Manager (who wish
to lead, teach, and facilitate team activities)
Deliverables
Participants acquire a disciplined approach to work with teams and address
issues in all activities of the organization. Attendees will receive brief
seminar presentation materials.
Prerequisites
There is no minimum
educational background requirement for this seminar.
Program Length
1 day
Quality Operating System (QOS)
Module Summary
QOS is a valuable
discipline developed in the late eighties for use in all levels of business
activities by Ford Motor Company’s manufacturing, assembly and stamping
plants. It is a set of very basic and general guidelines applicable to
quality improvement efforts of products and services of all kinds. Outside
Ford, the QOS discipline is also known as BOS (Business Operating System).
Use of the QOS guidelines helps align company’s strategic goals, achieve
planned objectives, and institute quality system for continuous improvement.
Who Should Attend
Managers, supervisors, and
people at all levels involved in continuous improvement activities in the
company.
Deliverables
