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

• Autores: Narinder Singh Sahni, Greg F. Piepel, Tormod Naes
• Localización: Journal of quality technology: A quarterly journal of methods applications and related topics, ISSN 0022-4065, Vol. 41, Nº. 2, 2009, págs. 181-197
• Idioma: inglés
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• Resumen

  • 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.