Quality Technology & Quantitative Management · 2012 · 36 citations · 19 references
ManagementEconomicsOperations ManagementProcess ControlProduction ControlProduction EconomicsControl ChartsProduction Performance AnalysisProductivity AnalysisStatistical Process ControlControl ChartingEconomic Performance MeasurementPhase I Control Chart DesignProcess Control ChartsRun Length AnalysisShort-run Control ChartsShort-run ProductionShort-run Statistical Process Control
At the start of a production run, the parameters of the distribution of a quality characteristic are frequently unknown. If the quality characteristic should by monitored on-line by means of a control chart and the production run length is too short, then it is impossible to get a sufficient Phase I number of samples allowing for the correct estimation of parameters and the evaluation of the chart’s tentative limits. To overcome this problem, in this paper the economic design of a CUSUM t control chart that is able to monitor short production runs without the need of Phase I samples is proposed. A numerical analysis aimed at comparing the economic performance of the CUSUM t chart vs. the CUSUM X̄ chart with known parameters has been performed on a benchmark of scenarios available from literature. The obtained results show that the expected economic loss associated to the implementation of the CUSUM t chart is quite negligible with respect to the control chart with known parameters. An illustrative example is provided to show the CUSUM t chart’s implementation.
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An approach to the probability distribution of cusum run length
D. Brook, D. A. Evans · Biometrika · 1972 · 882 citations