Page 116 - Six Sigma Demystified
P. 116

Chapter 5  m e a s u r e   s tag e        97


                             The cost of quality tends to increase as errors in a product or service move
                           downstream. It bears repeating that if it costs $1 to fix a problem in the design
                           of the product or service, it costs $10 to fix it in manufacturing or service deliv-
                           ery and $100 after delivery to the customer. Consider the costs owing to faulty
                           tires, food poisoning, or software bugs. The sooner problems are detected and
                           resolved, the cheaper is the solution.
                                                  l
                             In this way, failures are  ow- hanging fruit, providing a quick return on invest-
                           ment (ROI). Understanding the causal systems leads to improvement in efforts
                           at appraisal and, eventually, prevention.
                             While financial metrics such as cost of quality are useful for identifying areas
                           of potential improvements and tracking project savings, there is too much lag
                           in their response to identify process changes requiring action. Instead, CTC or
                           CTS metrics are defined that contribute to cost yet are quick to respond to
                           changes in process conditions.
                             A review of the potential savings and benefits outlined in the “Project Selec-
                           tion” section in Chapter 3 helps to quantify the costs captured by the response
                           of the particular metric.

                           ctS metrics
                           The most often used metric for CTS issues is the  cycle time metric or some
                           derivation of cycle time such as order processing time, delivery time, queue
                           time, or downtime. As with costs, problems in quality also can affect the sched-
                           ule. For this reason, process improvement focused on CTQ metrics also may
                           improve CTS issues. Consider the delays associated with rework or the repro-
                           cessing of orders after mistakes in a quality parameter have been detected.
                           Preventing the errors by concentrating on the CTQ metrics results in improved
                           CTS response.
                             In addition to these  quality- related issues, there are many other opportuni-
                           ties for improvement in cycle times. In the analyze stage, lean  value- stream
                           analysis  provides  techniques  for  differentiating  between   value- added  and
                             non- value- added process steps. Process efficiency and velocity can be calculated,
                           each of which indicates a process’s relative  value- added cycle time. While these
                           metrics are useful for comparing processes or for comparing  before- mprovement
                                                                                      i
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                           and  after- mprovement states of the process, they are not as useful as tracking
                           metrics for identifying changes in process conditions. Calculated values tend to
                           dampen the signal of a  cycle  time change and be less intuitive to process per-
                           sonnel who must respond to changes, decreasing their value as metrics for
                           immediate information.
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