ASQ

Exclusive Content & Downloads from ASQ

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.

Anyone with a subscription, including Site and Enterprise members, can access this article.


Other Ways to Access content:

Join ASQ

Join ASQ as a Full member. Enjoy all the ASQ member benefits including access to many online articles.

Subscribe to Journal of Quality Technology

Access this and ALL OTHER Journal of Quality Technology online articles. You'll also receive the print version by mail.

  • 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