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On Statistical Process Control Design

A foundation is laid for making the characterization of physical relationships among design variables, process parameters, and performance variables a primary focus of designing statistical process control (SPC) systems. Such characterizations will make it possible to construct and investigate collections of performance measures that managers can use to evaluate and choose policies. An example model is given that describes the interacting sources of variability in an SPC system using X-bar and standard deviation charts. This is followed by a collection of performance measures, examples of how they can be investigated through trade-off curves, and an illustration of interplay between the example model and the behavior of a real system.