ASC Six Sigma Training and Certification
ASC - Variation Reduction Courses and Training ASC - Original Developers of Six Sigma Methodology at Motorola Advanced Systems Consultants Clients MPCpS Methodology for Process Characterization Corporate Training Variation Reduction & Six Sigma Deployment and Implementation Process Characterization Books and Software Six Sigma Training, Deployment, Implementation and Certification PPAP StatsXPress and Cpkplus Software Articles on Variation Reduction Contact Advanced Systems Consultants

The Design of Experiments

A Seven-Stage Methodology for Optimizing Processes
by Mario Perez-Wilson
This seven-stage methodology for Design of Experiments (DOEx) presents a step-by-step approach to planning, designing, conducting and analyzing statistically designed experiments.
Book Description Benefits
The author's goal for this book is for it to be the only source needed for planning, designing, conducting and analyzing industrial experiments. The process is divided into seven stages providing the users with a systematic approach to statistical experimentation, and establishing a beginning and an end to the process. By analyzing the examples provided, users gain insight into the process and can readily see to what degree other organizations have taken their experiments. In this sense, the book is ideal for engineering managers. But it also systematically demonstrates how to design any factorial and fractional factorial experimental design, making it indispensable to all engineers.

The explanation of analysis of variance is probably the most comprehensive ever written.

Using a non-mathematical approach, the author takes a beginner who knows very little about experimentation and leads him or her to achieve a very comprehensive understanding of the topic. The book covers numerous examples of experiments conducted in industry.

  • Standardizes a methodology for statistical experimental design and analysis.
  • Provides a methodology or approach to experimental design.
  • Facilitates an understanding of the modern concepts of industrial experimentation.
  • Provides a step-wise model to be emulated by problem solvers in your organization.
Book on Design of Experiments
Stages of the DOEx Methodology DOEx Methodology
  • Stage 1: Theorization
  • Stage 2: Screening
  • Stage 3: Homing
  • Stage 4: Effects and Significance
  • Stage 5: Post Hoc Analysis
  • Stage 6: Modeling
  • Stage 7: Validation
This seven-stage methodology for Design of Experiments (DOEx) presents a step-by-step approach to planning, designing, conducting and analyzing statistically designed experiments.

The methodology's structured and logical approach uses statistical methods to determine the main and interactive effects of independent variables. These methods are also used to center a response variable's mean to a specified target and thus reduce or eliminate its major sources of variability.

The DOEx methodology has been strictly designed for industrial applications and its main objective is to simplify and speed up the execution of planned experiments in production environments.

Availability
  • Not For Sale
  • Only available with seminar attendance