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206  Part II  •  Descriptive Analytics

                                         Sigma, s, is a letter in the Greek alphabet that statisticians use to measure the
                                      variability in a process. In the quality arena, variability is synonymous with the  number
                                    of  defects. Generally,  companies  have  accepted a  great  deal  of  variability in their
                                      business processes. In numeric terms, the norm has been 6,200 to 67,000 defects per
                                    million opportunities (DPMO). For instance, if an insurance company handles 1  million
                                    claims, then under normal operating procedures 6,200 to 67,000 of those claims would
                                    be  defective  (e.g.,  mishandled,  have  errors  in  the  forms).  This  level  of  variability
                                      represents a three- to four-sigma level of performance. To achieve a Six Sigma level of
                                    performance, the company would have to reduce the number of defects to no more
                                    than 3.4 DPMO. Therefore,  six  sigma is a performance management methodology
                                    aimed at reducing the number of defects in a business process to as close to zero
                                    DPMO as possible.


                                    the DMAiC performance Model
                                    Six Sigma rests on a simple performance improvement model known as DMAIC. Like
                                    BPM, DMaic is a closed-loop business improvement model, and it encompasses the
                                    steps of defining, measuring, analyzing, improving, and controlling a process. The steps
                                    can be described as follows:
                                      1.  Define.  Define the goals, objectives, and boundaries of the improvement activ-
                                         ity. At the top level, the goals are the strategic objectives of the company. At lower
                                         levels—department or project levels—the goals are focused on specific operational
                                         processes.
                                      2.  Measure.  Measure the existing system. Establish quantitative measures that will
                                         yield statistically valid data. The data can be used to monitor progress toward the
                                         goals defined in the previous step.
                                      3.  Analyze.  Analyze the system to identify ways to eliminate the gap between the
                                         current performance of the system or process and the desired goal.
                                      4.  Improve.  Initiate actions to eliminate the gap by finding ways to do things better,
                                         cheaper, or faster. Use project management and other planning tools to implement
                                         the new approach.
                                      5.  Control.  Institutionalize the improved system by modifying compensation and
                                         incentive systems, policies, procedures, manufacturing resource planning, budgets,
                                         operation instructions, or other management systems.
                                         For new processes, the model that is used is called  DMADV (define, measure,
                                      analyze, design, and verify). Traditionally, DMAIC and DMADV have been used primarily
                                    with operational issues. However, nothing precludes the application of these methodolo-
                                    gies to strategic issues such as company profitability. In recent years, there has been a
                                    focus on combining the Six Sigma methodology with other successful methodologies. For
                                    instance, the methodology known as Lean Manufacturing, Lean Production, or simply as
                                    Lean has been combined with Six Sigma in order to improve its impact in performance
                                    management.

                                    Balanced scorecard Versus six sigma

                                    While many have combined Six Sigma and Balanced Scorecard for a more holistic
                                      solution, some focused on favoring one versus the other. Gupta (2006) in his book titled
                                    Six Sigma Business Scorecard provides a good summary of the differences between the
                                    balanced scorecard and Six Sigma methodologies (see Table 4.1). In a nutshell, the main
                                    difference is that BSC is focused on improving overall strategy, whereas Six Sigma is
                                    focused on improving processes.








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