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DURATION

Classroom
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0
Virtual
Hours
0
Elearning
Hours
0

AVAILABLE MODE

Classroom

Y

Virtual

Y

Elearning

Y

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DESIGN OF EXPERIMENT

Brief Overview

The training course presents concepts and software tools that you could use to help your organization Design experiments that are effective for studying the factors that may affect a product or process. Analyze experimental results in order to identify the significant factors and evaluate ways to improve and optimize the design. Go beyond traditional DOE techniques in order to apply the proper analysis treatment for the response information that is often of interest to reliability engineers — product lifetime data.

OBJECTIVES OF PROGRAM

+Need for systematic approaches to data analysis and design of experiments. Overview of the subject
+Introduction to probability and statistics for engineers
+Statistical inferences: Fundamentals, confidence intervals, hypothesis tests, comparison of means and variances
+Data analytic tools: Correlation, Analysis of Variance (ANOVA); Interpretation of results from experiments; Reporting experimental data
+Models and Methods: Linear Regression – bivariate and multivariate; Least Squares
+Methods – basic and variants; Confidence interval constructions; Non-linear regression; Model assessment
+Design of experiments: Statistical principles in experimental design – blocking, complete randomization; Factorial design;
+Factor Effect Analysis: Analysis of individual factor and interaction effects; Response surface methodologies
+Advanced topics: Variable selection; Fractional factorial design; Robustness

METHODOLOGY:

Multiple Case Studies and Applications, Interactive group work.

Who is the course for?