The current research focuses on the estimation of bulk density and angle of repose of tea leaves at different moisture content and size and development of a mathematical model for bulk density and angle of repose using response surface methodology followed by numerical optimization of responses using desirability functions. Further work was done on the design optimization of feed hopper and met...

The multi-response optimization (MRO) problem in response surface methodology is quite common in applications. Most of the MRO techniques such as the desirability function method by Derringer and Suich are utilized to find one or several optimal solutions. However, in fact, practitioners usually prefer to identify all of the near-optimal solutions, or all feasible regions, because some feasible...

Modelling radiative heat transfer in combustion applications involving complex geometries and detailed spectral properties of radiative gaseous species remains a difficult challenge, especially when full coupling with detailed chemistry and fluid dynamics is required. The Monte Carlo Method (MCM) usually considered as a reference ”exact” method for the computation of radiative transfer is howev...

Taguchi method was known as an off-line quality control methodology to be used in many industries. Until now, most applications only focus on optimizing a single-response in a static system. Furthermore, due to the increasing complexity of the product design, more than one quality characteristic must be considered simultaneously to improve the production quality. Therefore, there are several st...

A five level four factors central composite rotatable design under response surface methodology was used to optimize process conditions of the foam mat drying process i.e. egg albumen (0%-12%), methyl cellulose (0.1%-0.5%), drying bed thickness (3-7 mm) and drying temperature (55-75°C) to develop grape bar with final moisture content of 14%±1% (dry-base). Contour and response graphs were genera...

This vignette is intended to give a short introduction into the methods of the qualityTools package. The qualityTools package contains methods associated with the Define Measure Analyze Improve and Control (i.e. DMAIC) problem solving cycle of the Six Sigma Quality Management methodology. Usage of these methods is illustrated with the help of artificially created datasets. • Define: Pareto Char...

Multi-response optimization (MRO) in response surface methodology (RSM) is quite common in applications. Before the optimization phase, appropriate fitted models for each response are required. A common problem is model misspecification and occurs when any of the models built for the responses are misspecified resulting in an erroneous optimal solution. The model robust regression technique, a ...