Implementing Six Sigma: Smarter Solutions Using Statistical Methods
This new and significantly revised edition of Implementing Six Sigma goes well beyond traditional Six Sigma methodologies, introducing an enhanced roadmap-S4/IEE (Smarter Six Sigma Solutionssm/Integrated Enterprise Excellence). This cutting-edge approach offers a solution to the common problem of sustaining Six Sigma activities and downplays the traditional policy stating that Six Sigma projects must have a defined defect. A variety of plans, checklists, metrics, and warnings of potential pitfalls provide thorough preparation for anyone implementing Six Sigma strategies.
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Six Sigma Overview and S4IEE Implementaton
Voice of the Customer and the S4IEE Define Phase
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analysis of variance application examples approach assess belt and team Black belt calculated cause-and-effect diagram cause-and-effect matrix chapter confidence interval consider contrast column control chart control limits create criterion cycle described determine DFSS effects equation estimate evaluation Execution Roadmap Step experiment experimental factor levels factorial experiment failure rate FMEA fractional factorial function gage R&R identified implementation indicates invoice key process KPIVs KPOV machine manufacturing process mean measurement system needs normal distribution null hypothesis operator organization overall parameters Pareto chart Poisson distribution population problem procedure process capability/performance metrics process improvement Project Execution Roadmap reduce regression response S4/IEE project satellite-level Shewhart shown in Figure situation Six Sigma special cause special-cause specification limits standard deviation statistically significant subgroup supplier SVIEE Table techniques temperature test strategy tolerance tracked trials two-factor interactions two-level variation Weibull Weibull distribution XmR chart yield