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Product and Process Improvement Using Mixture-Process Variable Methods and Robust Optimization Techniques

Summary: [This abstract is based on the authors' abstract.] A process for producing low-fat mayonnaise investigates optimizing the raw material recipe and process variable levels. A mixture-process variable design was constructed and run as a split-plot experiment. Squared-error loss, mean-squared error, and bootstrap methods were used to develop optimal and robust solutions.

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  • Topics: Design of Experiments
  • Keywords: Bootstrap methods, Factorial designs, Mixture design, Robust design, Optimization, Split-plot design
  • Author: Singh Sahani, Narinder; Piepel, Greg F.; Naes, Tormod
  • Journal: Journal of Quality Technology