Page 200 - Lean six sigma demystified
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Chapter 5  Redu C ing   d efe C t S  with   Six   Sigm a          179


                                                    Seat minutes of outage in online systems
                          120000


                                                                                   GOOD
                          100000


                           80000
                         Minutes of outage  60000                                   Target





                           40000


                           20000


                              0
                                1/7  1/21  2/4  2/18  3/4  3/18  4/1  4/15  4/29  5/13  5/27  6/10  6/24  7/8  7/22  8/5  8/19  9/2  9/16  9/30  10/14  10/28  11/11  11/25  12/9  12/23


                       FIGURE 5-30 • Computer system minutes of outage line graph.




                           each person experienced only 11 minutes of outage per week per person,
                           but all totaled, it meant the loss of 1,667 hours, 208 person days, or five
                           person weeks. In other words, it was the equivalent of having five service
                           reps unavailable. Studies have shown that when a person in interrupted, you
                           don’t just lose them for the period of the interruption, because it can take

                           up to 30 minutes to regain full speed.
                             Target: The VP of Operations set a goal of reducing downtime by 50%, which
                           caused a lot of grumbling, but on analysis, they found that the server software
                           caused 39% of the downtime, 28% was caused by application software, and 27%
                           by server hardware (Fig. 5-31).



                           Analyze and Improve the Problem

                           Multiple improvement teams tackled each of these areas. Root cause analysis
                           (Fig. 5-32) and verification determined that password file corruption, faulty
                           hardware boards, processes, and one application accounted for most of the
                           failures.
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