Design of Experiments (DOE)

Description

INTRODUCTION

The challenge facing  Global and Local Corporations is to  reduce  design and development time while producing low-cost & better quality products that are ready to perform. Many organizations are being challenged to reduce  delivery time in 50%  or more.

Demanding that people work harder is not the solution. Providing proper tools helps in working more efficiently and effectively Experimental Design is a premier tool in helping meet these challenges. By understanding and applying Experimental Design techniques, scientists, researchers, and engineers typically obtain a 50% reduction in the time required to conduct tests. This translates into enhanced understanding of technologies, reduced design and development time and decreased costs.

Participants learn to set up, analyze, and interpret Design of Experiments (DOE) ranging from  Fractional Factorials to  Response Surface  Methods(RSM) . First discover the vital few effects along with unknown interactions, and then transition to RSM to optimize your process. Learn how to use the latest small-run DOE techniques to solve your real-world problems!

LEARNING OBJECTIVES

This course is designed toward the  Managers, Engineers, Scientists  and Technicians  who want to understand how to conduct simple, but powerful, designed experiments without becoming Statisticians. Several examples and “hands-on” techniques are used to help make the learning experience enjoyable. After completing this course, participants will be able to set up and analyze their own designed experiments.

The goal of DOE is to find a design that will produce the information required at a minimum cost & Properly and statistically designed DOE’s are more efficient experiments.

Upon completion of this course, the participant will learn:

• Design of Experiments (DOE) is a scientific method of planning and conducting an experiment that will yield the true cause-and-effect relationship between the X variables and the Y variables of interest. It maximizes learning, Systematic approach and Efficiency.
• The most common types of DOE’s-Fractional Factorials (4-15 input variables), Full Factorials (2-5 input variables ) & Response Surface Methods (RSM -2-4 input variables ).
• DOE allows the experimenter to study the effect of many input variables that may influence the product or process simultaneously, as well as possible interaction effects.
• Learn how we can experiment more effectively to improve our processes with fewer resources 
• Effective designed experiment planning helps us to avoid costly mistakes and get good buy-in of the results
• Good Planning is Critical! No fancy statistical analysis can rescue a poorly planned and designed experiment.

We will discuss Case Studies and examples. The course will offer many mid-course learning checks and will offer additional reading resources.

The Design of Experiments (DOE) course is developed based on decades of front-line automotive industry experience of the Instructor.

WHO SHOULD TAKE THIS COURSE

This course is designed to be a comprehensive course on the concepts of DOE, DOE Planning, DOE Design and DOE Analysis etc.

It is designed for a wide variety of audiences like:

• Engineers
• Supervisors
• Managers
• Researchers  and Scientists
• Design Engineers & Design Managers
• Sales and Service Manager
• Support and service professionals
• Quality Engineers and Managers
• Suppliers  and Supplier Quality Engineers & Managers
• Production Line Managers and Supervisors
• Manufacturing Professionals
• Line operators  and work cell supervisors

COURSE CONTENT 

COMING SOON !!