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Thought Leader: Dr. Daniel McCarville is a Professor of Practice at Arizona State University’s School of Computing, Informatics, and Decision Systems Engineering. With deep expertise in engineering management, Six Sigma, and applied experimental design, he brings years of practical experience into both academic and industry settings. His work spans process improvement, quality engineering, and innovative applications of statistical methods in real-world contexts—including winemaking. Topic Overview: This session explores how mixture experiments can be applied to optimize wine blending in a boutique winemaking setting. Dr. McCarville shares how statistical tools like simplex-lattice designs, mixture constraints, and desirability functions are used under practical conditions such as varietal limits and production constraints. The conversation also touches on the realities of working with non-expert tasters, forced ranking methods, and limited timelines. This talk highlights the versatility of Design of Experiments (DoE) in enhancing both quality and creativity—even in unexpected industries.