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Optimization of Multiple Response Surfaces with Secondary Constraints for Improving a Radiography Inspection Process

Summary: [This abstract is based on the authors' abstract.]The goal of many statistical studies is to find settings of design or process variables that optimize the quality or reliability of products or processes that may be multidimensional. Often, physical secondary constraints may cause interdependencies among the factors. Additionally, the operability region imposed by the constraints is often unknown, so that standard experimental methods are not always possible. A sequential approach is taken to solve a constrained optimization problem in a radiography inspection process. An initial experiment is used to estimate the constraints, and then a sliding level design with sliding factors nested within multiple factors is used to account for interdependencies between the factors. A goal optimization formula based on this approach is proposed to optimize conflicting multiple responses.

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  • Topics: Theory of Constraints, Design of Experiments, Inspection
  • Keywords: Constraints,Design of experiments (DOE),Multi-component constraints,Multiresponse experiment,Nested experiments,Nondestructive inspection (NDI)
  • Author: Ng, S.H.; Xu, K.; Wong, W.K.
  • Journal: Quality Engineering