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112   Chapter Four


             allocation mechanism to target a mix of DMAIC/DFSS projects to be
             revisited periodically. In a healthy deployment, the number of DFSS
             projects should increase as the number of DMAIC projects decreases
             over time. However, this growth in the number of DFSS projects
             should be engineered. A growth model, an S curve, can be modeled
             over time to depict this deployment performance. The initiating con-
             dition of where and how many DFSS projects will be targeted is a
             significant growth control factor. This is a very critical aspect of
             deployment, particularly when the deploying company chooses not
             to separate the training track of the black belts to DMAIC and DFSS
             and train the black belt in both methodologies:


           ■ Available external resources will be used, as leverage when advan-
             tageous, to obtain and provide the required technical support.
           ■ Promote and foster work synergy through the different departments
             involved in the DFSS projects.


           4.4 DFSS Deployment Strategy

           A DFSS deployment strategy should be developed to articulate the basic
           DFSS deployment mission, guiding principles, goals, key result areas,
           and strategies for its management and operations to guide and direct its
           activities. It should be part of the total Six Sigma initiative and deploy-
           ment. Usually, companies embark on the DMAIC method prior to
           deploying DFSS. Other companies choose to deploy both simultaneously,
           adding more deployment mass and taking advantage of the successful
           deployment in Six Sigma pioneering companies. Companies in this cat-
           egory use benchmarking to avoid deployment failure modes.
             The deployment vision is to create a long-term Six Sigma design cul-
           ture. This long-term vision can be achieved by taking short-term and
           calculated deployment steps forward, usually annually. The combined
           effectiveness of these steps is the right-hand side of the deployment
           equation. By deployment equation, we mean the momentum (MO). The
           momentum can be expressed as the deployment velocity (DV) times
           deployment mass (DM) or
                                    MO   DV 
 DM                        (4.1)

           This equation has some scalability depending on the deployment entity.
           A deployment entity may be scaled up to the enterprise level or down
           to a DFSS team and pass through a business unit or a company, a divi-
           sion, or a department. For example, at the division level it means the
           total number of projects closed and the  average velocity with which
           these projects are successfully closed (ended). Initially, in the DFSS
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