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The
Dilemma of Improving Quality In New Product Development
Larry R. Smith,
Ford Motor Company
Boris Zlotin, Ideation International, Inc.
Alla Zusman, Ideation International, Inc.
* First presented at
the Altshuller Institute Conference "TRIZCON99" March 7-8, 1999
CONTENTS:
Abstract
Introduction
Process
Insights
Summary
and Conclusions
References |
[ATTACHMENT
1:]
Problem Formulation
Problem Statements Analysis
Developmental Management
Fire Fighting
Ideal Engineering I
Ideal Engineering II
Main Inhibitors
Operational Management
Poor Quality Reinforcement
Quality Inhibitors
Quality System
Short Term Drivers
Strategic Management |
[ATTACHMENT
2:]
Applying Operators (knowledge base) for generating
suggestions
Revealing and analyzing similar projects in other areas
Revealing the main trends in design methods evolution |
Abstract
Winning companies improve at a rate faster
than that of their competitors. What can be done to overcome system
inhibitors and accelerate change associated with quality improvement? The
authors, with a team at Ford, studied this problem using TRIZ. Generic
system models containing inhibitors and enablers for quality improvement
were created. From these models, contradictions were formulated. Solution
ideas were then generated using selected TRIZ tools. Specific insights
obtained by looking at this problem with TRIZ will be discussed.
Key Words: Change, Inhibitors,
Quality Improvement, TRIZ
Introduction
Dr. Deming used to say, "The best
thing you could do at Ford is to make your customers so happy that they
begin to brag about your product to others. When it comes time to buy a
new one, not only do they come back to buy yours …. they bring their
neighbors with them." This is the problem we choose to work on:
"How do we design the product right the first time?" "How
do we introduce into an organization like engineering, the necessary
skills and methods so that changes are not needed after the drawings are
released?"
The problem is generic. "How do you
introduce methodology 'XXXXX' in an organization?", where "XXXXX"
might be Taguchi methods, TQM, QFD, or even TRIZ. "How do you
accelerate the process of implementation of new, more powerful
methods?" The company that implements effectively and learns the
fastest will eventually win, no matter the starting competitive position.
The objectives of this study are to:
- Share an important, generic problem with
others, get more people thinking
- Demonstrate how TRIZ may be utilized in
a non-technical situation
- Provide an example of working with a
Problem Formulator and Operators
- Provide an example of a situation
related to the introduction of new engineering technology
Process
Our process steps were as follows:
- TEAM: The first step in working with any
problem is to form an effective team. Ours was one of the best and
consisted of: Don Brock, Vince Hagedorn, Joseph Hughlett, Radha
Krishnan, Larry Smith, Dmitry Tananko, Bill Tinney, Boris Zlotin, and
Alla Zusman.
- CREATE PROBLEM FORMULATORS: Because our
problem was generic, the system, enablers, and issues we wanted to
explore were well documented in literature. In particular the article,
"The Barriers to Total Quality Mangement," (Tamimi and
Sebastianelli, 1998), contained comments from a sample of 188 quality
professionals. We used input from this source and others (for example,
Jones, 1982) to construct models of the problem. Each model mapped
causal relationships (both reinforcing and balancing) between the
system elements (Senge, 1991). George Box, from the University of
Wisconsin, states, "All models are wrong, but some are
useful." These models are not perfect, nor do they need to be.
They are, however, useful in providing a context for idea generation.
The models created, shown in Attachment
1, are titled:
Fire-fighting, Quality Inhibitors, Main Inhibitors, Operational
Management, Developmental Management, Strategic Management, Quality
System, Poor Quality Reinforcement, Short Term Drivers, Ideal
Engineering I, and Ideal Engineering II. Attachment
1 also
contains an operational description of Problem Formulation, written by
Alla Zusman and Boris Zlotin.
- CREATE PROBLEM STATEMENTS: Problem
statements were generated from the problem formulator models. These
statements define high leverage areas of the system, where change
could redefine the system archetypes and modify system performance.
These high leverage areas are contradictions, system nodes where
reinforcing and balancing loops come together. Our system models and
problem statements, shown in Attachment
1, were generated with
software (Ideation, 1998). Our team worked by using the software as a
facilitation tool. We projected the software image onto a screen, then
used the software to record our ideas and thoughts, which we could
later print for everyone's use.
- GENERATE SUGGESTIONS: The team used the
problem statements and associated Operators and examples to brainstorm
ideas. The Operators we used were built into the software (Ideation,
1998), and are part of the original TRIZ methodology (Altshuller and
Shulyak, 1997) that has been further enhanced with the research of
Boris Zlotin and Alla Zusman. The software we used was programmed to
provide the appropriate Operators for the types of contradiction in
our system model. The software also provided examples of how others
used these Operators. Even though the examples were technical in
nature, we were able to find many parallels for a non-technical
system. For example, consider the physical principle of resonance. Is
it possible to "resonate" an organization with a new idea or
a new way of doing things? Systematically introduce the idea at the
appropriate time using a variety of inputs, to literally get the whole
organization "percolating" in a metaphor of
"resonance"? The Operators and examples helped to
"stretch our minds" and generate "out of the box"
ideas. We also used Lines of System Evolution to stimulate ideas
(Ideation, 1998).
In a typical brainstorming session, the
idea flow is similar to the process of popping popcorn. The ideas are
slow to start, then proceed rapidly for a time, and then slowly stop.
When this happens, then another example of an Operator, or a different
Operator is presented for team consideration. The idea generating
process then proceeds again. By using this aspect of TRIZ, we were able
to develop a much richer idea stream, with a much greater number of
ideas than we could have obtained by simple brainstorming. Our team
continued this way until the ideas we were generating were repeats of
previous ideas, and we had exhausted all the ideas that our particular
group could contribute at the time.
- INTEGRATING IDEAS INTO CONCEPTS: Our
team selected approximately fifty ideas for further consideration.
These ideas and some thoughts with regard to them are shown in Attachment
2. A few of these
ideas were developed into a strategy proposal for presentation to Ford
senior management.
Insights
Some of our team members have been thinking
about this particular problem for over fifteen years. The process we used
helped to better understand the situation and generated some new insights
as to why it is so difficult to introduce new technology that improves the
ability to "design it right the first time":
- Fire-fighting: Reacting to
events, "putting out fires" with an all-out effort at the
last minute, is fun. No wonder engineers and management like to do it.
In such a situation all constraints that are normal to the system
disappear. The team can literally, spend whatever they want, obtain
whatever resources they need, over-run budgets, take any action they
like to resolve the situation. Often team members find themselves
"empowered" in such a way that they display leadership
qualities to senior management and later get promoted. It is a very
different situation when the engineers are asked early in a program to
"design it right" and "prevent problems". In the
normal system, budget constraints make it difficult to get things
accomplished - it is a struggle and not fun. Is there a way to make
the process of preventing problems as much fun, and as rewarding, as
"putting out fires"?
- The Effort of Designing It Right:
Dr. Deming used to say that, "It costs just as much to
manufacture a defective part as it does to manufacture a good
part." Understanding the truth of this, and that manufacturing
"bad" products is waste, drives quality improvement in the
manufacturing environment. The situation is different in design. For
the engineer, it is much easier to develop a poor design, and not use
the new and innovative tools necessary to develop an ideal design. No
one knows whether a design is good or bad until it is tested,
something which happens very late in the design process (perhaps years
after the design work is initially done). In addition, testing only
identifies gross problems. The real quality of a design is not
determined until real customers provide feedback, often five or ten
years after the design work is completed. Is there a way to make it
more difficult for an engineer to do a poor design than to do a great
design?
- The Problem of Measures: In the
Product Development Process, engineers and management have immediate
measures relating to cost, weight, and timing. Quality and customer
satisfaction estimates are just that, opinions. Since teams which
present a negative opinion of their quality will receive a great deal
of management attention, only good opinions are ever reported. The
actual results, reported years later, never reflect the optimistic
opinions of the original design team. Is there a way to make
measurements relating that strongly correlate with customer quality
visable to engineers and management real time in the Product
Development Process?
Summary
and Conclusions
Assisting an organization to implement new
and exciting methods that produce results years later is a very difficult
challenge. Use of TRIZ methodology to study this problem produced several
useful insights, which help to explain why the problem is so difficult. By
sharing the problem, insights, and ideas with others, we can all work
together to overcome a difficult generic problem.
References
Altshuller, Genrich and Shulyak, Lev 1997, 40
Principles: TRIZ Keys To Technical Innovation, Worchester,
Massachusetts: Technical Innovation Center
Ideation Innovation WorkBench™
Software System, 1998, Version 2.2, Southfield, Michigan: Ideation
International Inc.
Jones, Christopher J. 1982, Design
Methods, New York: John Wiley & Sons, ISBN 0-442-01182-2
Senge, Peter 1990, The Fifth Discipline,
New York: Doubleday Currency, ISBN 0-385-26094-6
Tamimi, Nabil and Sebastianelli, Rose 1998,
"The Barriers to Total Quality Management," Quality Progress,
June, 1998, pp. 57-60
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