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Statistical Process Control for Monitoring Nonlinear Profiles: A Six Sigma Project on Curing Process
2012
Quality Engineering
Curing duration and target temperature are the most critical process parameters for high-pressure hose products. The air temperature collected in the curing chamber is represented in the form of a profile. A proper statistical process control (SPC) implementation needs to consider both numeric as well as profile quality characteristics. This article describes a successful Six Sigma project in the context of statistical engineering for integrating SPC, a statistical method, to the existing
doi:10.1080/08982112.2012.641149
fatcat:esk3jthz55agzcyjo4os2y77cq