Designed Experiments & Reliability Engineering Articles

Ten Useful and Practical Tips forMaking Your Industrial Experiments Successful: This paper presents some useful tips so that reliable and valid conclusions can be drawn efficiently, effectively and economically from a Designed Experiment.

Reliability Needs: Excerpted from The Reliability Engineering Handbook, this article discusses the importance of identifying and quantifying reliability needs.

Maintainability and Availability: In this excerpt from The Reliability Engineering Handbook, authors Bryan Dodson and Dennis Nolan define the components of maintainability and availability.

Data Collection, Analysis, and Reporting: Excerpted from The Reliability Engineering Handbook, this article outlines data collection techniques as well as how to analyze and report problems or failures.

Criticality Analysis: In this excerpt from The Reliability Engineering Handbook, the authors discuss Criticality Analysis and the qualitative and quantitative approaches to assessing FMECA.

Virtual-DOE, Data Mining and Artificial Neural Networks : This article presents a way of conducting "virtual" experiments using existing data and artificial neural network (neural net) software.

Failure Modes, Effects, and Criticality Analysis: In this excerpt from The Reliability Engineering Handbook, the authors discuss differences between part function, part failure mechanism, failure effect, failure detection, and failure mode.

Pick a Design, Any Design : An overview of Designed Experiments, by C.J. Keller and Richard Scranton.

DOE Use in the Health Care Industry : by Richard Scranton with Daniel Sloan.

Applying Experimental Design : A short how-to on DOE, by C.J. Keller.