This paper introduces two classes of multiresponse designs: (a) hierarchical designs, and (b) designs with p block systems. The former will be useful for those situations where the responses could be arranged in a descending order of importance, so that with respect to any two responses it is known which one needs to be measured on a larger number of experimental units. The latter class is call...

Previous algorithms for constructing regression tree models for longitudinal and multiresponse data have mostly followed the CART approach. Consequently, they inherit the same selection biases and computational difficulties as CART. We propose an alternative, based on the GUIDE approach, that treats each longitudinal data series as a curve and uses chi-squared tests of the residual curve patter...

This investigation proposes a grey-based Taguchi method to solve the multi-response problems. The grey-based Taguchi method is based on the Taguchi’s design of experimental method, and adopts grey relational analysis (GRA) to transfer multiresponse problems into single-response problems. In this investigation, an attempt has been made to optimize the drilling process parameters considering weig...

This work aimed at investigating the simultaneous production of amylases and proteases by solid-state fermentation (SSF) of babassu cake using Aspergillus awamori IOC-3914. By means of experimental design techniques and the desirability function, optimum inoculum conditions (C/N ratio of propagation medium, inoculum age, and concentration of inoculum added to SSF medium) for the production of b...

In this study, the problem of giving priority to two or more quality chracteristics faced while applying Taguchi Method on multiresponse problems is studied. It was based upon Tong et al.(1997)’s approach on assignment of weights derived from individual experiences. Instead of prioritizing by personal judgments, Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) methods were us...