Page 189 - The Six Sigma Project Planner
P. 189

To keep things simple, we show the strategy linkage for only three departments:
                    engineering, manufacturing, and marketing; each department can prepare its own QFD
                    matrix. Notice that the four differentiator metric columns in Figure 29 appear as rows in
                    the matrix in Figure 31. The rows are the QFD “whats.” The software automatically
                    brings over the criteria performance target, criteria scores, and relative criteria scores for
                    each row. If you’re using another method, you’ll need to do this manually. This
                    information is used to evaluate the strategy support plans for the three departments.
                    The support plans for the three departments are shown as columns, the QFD “hows,” or
                    how these three departments plan to implement the strategies. The relationship
                    between the whats and hows is determined as described above for Figure 29. For each
                    column, the value of the each relationship is multiplied by the row Criteria Score and
                    the results of those calculations are summed and shown in the Score row near the
                    bottom of the chart. This information will be used to select and prioritize Six Sigma
                    projects in the next phase of the QFD.
                    Figure 31 also has a “roof,” which shows correlations among the whats. This is useful in
                    identifying related Six Sigma projects, either within the same department or in different
                    departments. For example, there is a strong relationship between the two engineering
                    activities: “faster prototype development” and “improve concept-to-design cycle time.”
                    Perhaps faster prototype development should be a subproject under the broader
                    heading of “improve concept-to-design cycle time.” This also suggests that a project
                    described as “improve concept-to-design cycle time” may be too large in scope. The
                    marketing strategy of “improve ability to respond to changing customer needs” is
                    correlated with three projects in engineering and manufacturing. When a strategy
                    support plan involves many cross-functional projects, it may indicate the existence of a
                    core process. This suggests a need for high-level sponsorship or the designation of a
                    process owner to coordinate projects.


                    Deploying Operations Plans to Projects
                    Figure 32 is a QFD matrix that links the department plans to Six Sigma projects. (In
                    reality this may require additional flow-down steps, but the number of steps should be
                    kept as small as possible.) The rows are the department plans. The software also carried
                    over the numeric relative score from the bottom row of the previous matrix, which is a
                    measure of the relative impact of the department plan on the overall differentiator
                    strategy. The far right column, labeled “Goal Score,” is the sum of the relationships for
                    the row. For this example, only the top five department plans are deployed to Six Sigma
                    projects. By summing the numeric relative scores, we can determine that these five
                    plans account for 86% of the impact. In reality, you will also capture only the biggest
                    hitters, although there’s nothing magic about the number five.
                    There are three Black Belts shown and eight projects. Each project is shown as a column
                    in the matrix. The relationship between the project and each departmental plan is
                    shown in the matrix. The bottom row shows the “Project Impact Score,” which is the
                    sum of the relationships for the project’s column times the row’s numeric relative score.



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