Download white papers and publications, covering topics such as DOE, reliability, measurement systems and more.
White Paper Abstracts
- Effective Innovation: Invention and innovation are different. Using invention methods to innovate is ineffective. Learning Effective Innovation has been difficult in the past, but Objective Experiments makes it easy.
- Effective Innovation Using DOE: Design of Experiments gives you the most information at the lowest cost with the least amount of work. This white paper presents three industry examples, from Hewlett Packard, Lexmark International and Monsanto.
- What's Wrong With One-Factor‐at‐a‐Time? One-Factor‐at‐a‐Time is the most common experimental methodology, but it has significant weaknesses: it's subjective, restricted and ignores factor interactions. Using a model corrects these shortcomings.
- Is Your Product Reliable? Engineers can now measure product reliability and life, to design more reliable products. This white paper features three industry examples of Reliability Analysis.
- What on Earth is a Weibull? Reliability analysis is essential to developing and manufacturing quality products. The Weibull Distribution is a powerful tool for measuring variations in production reliability and predicting product life, so you can make more informed decisions.
- Can You Trust Your Measurement System? If your data is important, then you should perform a Measurement System Analysis (MSA) to ensure its accuracy. Three real-world examples describe measuring surface tension for inks, copper thickness for printed circuit boards and diamond cutter wear.
- For Your Measurement System, a Picture is Worth a Thousand Words: Gage Performance Curves provide a way to communicate the results of your MSA so that others can easily understand your results.
Other Publication Abstracts
- 7 Steps to Reducing Failure and Cycle Time, by William A. KappeleA case study in the effective use of Design of Experiments from US Synthetic.
- Using JMP to Create Experiment Designs with Non-Linear Constraints‐Two Examples from the Pharmaceuticals Industry, William D. KappeleIn this paper you will learn how to use the JMP Custom Designer to create Experiment Designs with non-linear constraints.
- Using JMP to Analyze Data from a Designed Experiment with Some Responses Below the Limit of Detection, by William D. Kappele In this paper you will learn how to use JMP to analyze Experiment Designs with censored data.
- Setting Robust Process Specifications Using Design of Experiments and Monte Carlo Techniques, by William D. KappeleThis paper will show how a combination of Design of Experiments and Monte Carlo techniques can be used to set robust process specifications in a straightforward, objective manner.
- Gage R&R for Destructive Measurement Systems, by William D. Kappele and John RaffaldiTypical Gage R&R studies rely on the assumption that a part can be measured without changing the characteristics of that part. If the part is changed by the measurement in a manner not allowing measurement of the same characteristic, the system is called a "destructive measurement system." This paper tells you how to perform a Measurement System Analysis for a Destructive Measurement System.
- A lean approach to Measurement Systems Analysis, by Stephen W. CzuprynaThis paper suggests an alternate way forward —a lean approach that lets us use data collected for an experiment to also do a measurement sanity check.
- Everything You've Always Wanted to Know About the Weibull Distribution, but Were Afraid to Ask! by Dr. Charles Whitman In this "Ask Statman" article, Dr. Whitman will address several questions about the Weibull Distribution.
- The SPC Press Reading RoomYou'll find a number of interesting articles by Donald Wheeler.