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88   Chapter Three


           hypotheses, depending on the way in which the fundamental
           knowledge areas are treated. Fundamental knowledge that can’t be
           tested, yet is generally accepted as truth, will be treated as axioms.
           If the fundamental knowledge areas are being tested, they are
           treated as hypotheses. Design axioms (Suh 1990) and  TRIZ
           (Altshuller 1988) hypotheses are examples of fundamental knowledge
           in DFSS theory.
             The major objective of DFSS is to “design it right the first time” to
           avoid painful downstream experiences. The term “Six Sigma” in the
           context of DFSS can be defined as the level at which design vulnera-
           bilities are not effective or minimal. Generally, two major design vul-
           nerabilities may affect the quality of a design entity:

           ■ Conceptual vulnerabilities that are established because of the viola-
             tion of design axioms and principles.
           ■ Operational vulnerabilities due to the lack of robustness in the use
             environment. Elimination or reduction of operational vulnerabilities
             is the objective of quality initiative including Six Sigma.

             The objective of the DFSS when adopted upfront is to “design it right
           the first time” by anticipating the effect of both sources of design vul-
           nerabilities. This requires that companies be provided by the analyti-
           cal means to achieve this noble objective and sustain it. Many
           deploying companies of the Six Sigma philosophy are devising their in-
           house views of DFSS. It is the authors’ perception that most of the
           thinking about DFSS in many companies who are leading the DFSS
           deployment is geared toward different packaging of the DMAIC
           methodology plus “voice of the customer” tools. Their proposed deploy-
           ment of DFSS is concentrated around phasing DMAIC methods in the
           development process boosted, however, with dosages of tool complexity
           (e.g., multiple regression instead of simple linear regression). This track
           does not guarantee the achievement of Six Sigma capability in the
           design entity. Additionally, because of unavailability of data in the
           early design phase, most of the current Six Sigma tools may be useless.
           In this context, the proposed DFSS strategy in this book has the view
           depicted in Fig. 3.15. Accordingly, the DFSS should be based on new
           tools that should take into consideration the unique nature of the
           design process itself.
             On the hard side, in order to “design it right the first time,” the DFSS
           theory presented in this book is designed to attack both types of design
           vulnerabilities to have Six Sigma yield of the designed entity. This objec-
           tive can be achieved not only by targeting the entity itself but also by
           extending DFSS deployment to the developmental processes that produce
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