Process optimization is increasingly important as competition deepens. As such, the
optimization of process parameters allows the manufacturer to improve its competitive …

Many industrial experiments involve one or more restrictions on the randomization. In such
cases, the split-plot design structure, in which the experimental runs are performed in …

Finding a D‐optimal design for a split‐plot experiment requires knowledge of the relative
size of the whole plot (WP) and sub‐plot error variances. Since this information is typically …

Many existing methods for constructing optimal split-plot designs, such as D-optimal or A-
optimal designs, focus only on minimizing the variance of the parameter estimates for the …

In numerous industrial and related activities, the sums of the values of, frequently, unequal
size samples are systematically recorded, for several purposes such as legal or quality …

With increasingly constrained budgets, it is now becoming more desirable to get more
information from each experiment and to have an intentional strategy for selecting designs …

For a coal-based production system with entrained flow coal gasification, the fluctuations in
syngas yield (SY) affect the stability of downstream sections directly. The focus of this study …

This study addresses the challenge of estimating statistical parameters from individual
observations based on aggregated data, a task of paramount importance in scenarios where …

An optimal experimental design is a structured data collection plan aimed at maximizing the
amount of information gathered. Determining an optimal experimental design, however …

O panorama industrial tem revelado duas tendências: aumento de competitividade e,
considerando o contexto ambiental, procura por soluções sustentáveis. Materiais que …