The zip file you can download by clicking the line below contains the installable QT4-Setup.Exe file along with several documents on the use of the software and the Taguchi methodologies. Be sure to use the FREE License codes [Reg#401240124011099] when installing the software.

Click here to download: Qualitek-4_Install_Files.Zip.

Overview & CAPABILITIES

Qualitek-4 (QT4) for Automatic Design and Analysis of Taguchi Experiments

The Taguchi method of experimental design is a popular statistical technique utilized by the manufacturing industry today. Qualitek-4 is designed to automatically design and analyze the results of Taguchi experiments.  You can use QT4 to readily compute the main effect, perform ANOVA, determine optimum conditions, and print presentation-quality reports.

Experiment Design – To help you design your experiments, QT4 allows you to do it yourself or in an automatic design option, lets you simply indicate what are your factors and levels, and then it selects the array and assigns the factors to the appropriate columns. While automatic design can handle most of your common experiment designs, the manual design option allows you to create special designs to suit your needs. Once you are satisfied with your experiment design, QT4 readily describes the recipes for you to carry out the experiments. It also suggests the random order of conducting each of the experiments, which are described in separate pages to resemble a work order.

Analysis of Results– The three basic steps in analysis; Main Effect, ANOVA, and Optimum studies are carried out in sequence with the click of OK buttons. Analyses can be performed using Standard or S/N for Smaller, Bigger, Nominal, or Dynamic Characteristics.

Miscellaneous Features – Automatic test of the presence of interaction, Plot of interaction between two, three, and four-level factors, Least Squares quadratic curve fitting between average effects for three and four-level factors, the plot of Main Effects, Bar graph, and Pie diagram for ANOVA results, Stacked diagram for factor contributions to Optimum, etc.