Instructor Led Design Of Experiment Training

Experimental Designs for Mixtures and Chemical prosesses ...design of experiment design and analysis should be done when factors are dependent as in case of mixtures. Participants are prepared to understand the concept of a mixture and basic statistical models for fitting and analyzing mixture experiments. The focus is on application of mixture experiments to manufacturing operations involving chemical processes. An introduction to basic designs such as  more...

Design Of Experiment DOE DOE is a simple yet effective problem solving methodology. It can be applied to problem resolution & also to problem prevention. DOE supports quality improvement initiatives from primitive to world-class quality levels. This training module explains Shainin techniques of DOE in a simple step-by-step approach.  more...

DFMA Training Program on 18th 19th Feb 2011 DFMA is a technique that integrates design and manufacturing aspect of the product at the drawing board stage itself. It uses simple numerical evaluation methods to examine the ease of manufacturing and assembling the product. DFMA is applied in many automobile and ancillary companies during the product development stage to minimize the component count and design the product to suit LEAN  more...

Introduction to the Design of Experiments This course covers the fundamental concepts in statistics in a non-technical and applied way. This session covers the fundamentals of statistics: the importance of recognizing the type of variables (role in the experiment and the values taken), descriptive statistics, relating variables, inferential statistics (mechanism, what is a p-value, the risks involved in statistical testing, confidence  more...

Advanced Experimental Designs This course covers the fundamental concepts in statistics in a non-technical and applied way. This session focuses on the design and the analysis of more complex experimental designs than those seen in the Introduction to the Design of Experiments course. These designs are used to account for different sources of experimental constraints such as material heterogeneity, physical constraints,  more...

Design of Experiment -DOE DOE is a systematic approach of investigation of a system or process. A series of structured tests are designed in which planned changes are made to the input variables of a process or system. The effects of these changes on a pre-defined output are then assessed . DOE is important as a formal way of maximizing information gained while resources required. DOE can be used to find  more...

Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course) The course hax been designed for individuals: * Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring. * Working with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy) chromatography instruments (LC, CE, GC, HPLC), production data & sensory data, R&D, quality control or production processes. Course Topics  more...

Multivariate Data Analysis Introduction to multivariate data modeling When are multivariate methods useful? Principles and applications of: Principal Component Analysis (PCA) Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS) Relevant data collection Multivariate modeling step by step Pretreatment and scaling Detecting and dealing with  more...