Description:

Design of experiments （DOE） or experimental design is the design of any information-gathering exercises where variation is present, whether under the full control of the experimenter or not. However, in statistics, these terms are usually used for controlled experiments. Other types of study, and their design, are discussed in the articles on opinion polls and statistical surveys （which are types of observational study）, natural experiments and quasi-experiments （for example, quasi-experimental design）. See Experiment for the distinction between these types of experiments or studies.

In the design of experiments, the experimenter is often interested in the effect of some process or intervention （the "treatment"） on some objects （the "experimental units"）, which may be people, parts of people, groups of people, plants, animals, materials, etc. Design of experiments is thus a discipline that has very broad application across all the natural and social sciences.

Duration:

Four(4)days

Benefits:

1.know how to use DOE to find out the best solution

Who Should Attend:

production department stuff, Engineers;

Key Topics: 

Introduction to Minitab 

Review of Multi-Vari analysis

• Confidence Intervals Review
• Introduction to Hypothesis Testing

Multiple regression

• Introduce the types of the Multiple regression(Stepwise, Best subsets, Standard Least Square)
• Introduce the roadmap for multiple regression

DOE introduction

DOE planning

• Provide direction on dealing with noise variables
• Provide insights into Inference Space and Experimental Validity
• Introduce the roadmap for planning an experiment (roadmap)

Full factorial Design，adding center point and blocking

• Describe the overall concepts of 2k Factorials
• Design and analyze 2k Factorials
• Use of Center points in your designs
• Apply Blocking to 2k Factorials

Fractional factorial

• Understand the concept and application of Fractional factorial DOE
• Understand the design method of Fractional factorial DOE
• Understand the analyze method of Fractional factorial DOE
• Understand fold design
• Understand the concept of Saturation Design
• Understand the Plackett-Burman Design

Sequential Experiments

• Understand the concept of Sequential Experiments
• Understand the feature of Sequential Experiments
• Understand the application of Sequential Experiments
• Introduce the roadmap of Sequential Experiments

RSM

• Understand the objective of RSM
• Understand the three way of apply RSM
• Central Composite Design (CCC,CCI,CCF)
• Box-Behnken Design