In mixture-process variable experiments, it is common that the number of runs is greater than in mixture-only or process-variable experiments. These experiments have to estimate the parameters from the mixture components, process variables, and interactions of both variables. In some of these experiments there are variables that are hard to change or cannot be controlled under normal operating conditions. These situations often prohibit a complete randomization for the experimental runs due to practical and economical considerations.
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- Industrial Engineering
- Design of Experiment
- Mixture-Process Experiments
- Optimal Design
- Response Surface Methodology
- Robust Parameter Design
- Split-Plot Design
- Response surfaces (Statistics)
- Experimental design--Statistical methods.
- Experimental Design
- Manufacturing processes--Statistical methods.
- Manufacturing processes
- Process control--Statistical methods.
- Partial requirement for: Ph.D., Arizona State University, 2010Note typethesis
- Includes bibliographical references (p. 118-121)Note typebibliography
- Field of study: Industrial engineering