Your Reliability Engineering Professional Development Site
A listing in reverse chronological order of articles by:
Dear friends, I am releasing this 102nd video after a long gap of more than three months! I went through some critical health issues since October-2024! Now that I have recovered fairly well, I have created this interesting video. In this video, I have explained how to perform Weibull Probability Plotting and life data analysis of complete data using ‘Reliability Analytics Toolkit’.
Attribute inspection is one of the most widespread and difficult-to-control measurement methods in manufacturing. Whether inspecting machined surfaces for cosmetic defects, checking weld quality, reviewing molded parts, evaluating assembly completeness, or using go/no-go gauges, many operations depend on human inspectors to make subjective judgments. [Read more…]
I searched the Internet for “Why Use Weibull Reliability?” and got 196 hits “similar sites omitted”. Some hits looked like they were generated by Chat GPT. None showed data. None told how to test or use Weibull reliability estimates. Many sell Weibull software. All require lifetime data.
Assuming a continuous, parametric distribution such as Weibull conveniently extrapolates limited, censored lifetimes to estimate MTBF, even though MTBF may be far in the future. Https://en.wikipedia.org/wiki/Weibull_distribution lists many uses for Weibull distributions. A client had me use Weibull to model durations of covered calls!
[Read more…]
Dear friends, we are happy to release this 101th technical video on system durability estimation! The first part of the video describes the quiz. Viewers are expected to try to solve it on their own before watching the second part of the video where we have illustrated the solution using Excel.
Dear friends, we are very happy to release our 100th technical video on the subject of Computer generated Optimal experimental designs!
In conversations about “Six Sigma level” performance, I hear people using DPPM and DPMO like they’re the same thing. And in fact, they’re close, but not interchangeable. Among manufacturing quality professionals though, this distinction matters critically when describing how good (or how bad) a process really is.
[Read more…]“Evaluate what you want – because what gets measured, gets produced.” James A. Belasco
Years ago, many FMEAs did not recommend actions to improve product designs or testing. They identified risk, which is important; but missed opportunities to actually improve product designs and test plans. In this article, I will outline how to evaluate an individual Design FMEA or Process FMEA against the FMEA Quality Objective for test improvements.
The concept is to take specific action to add new tests and/or revise current tests, in order to address high detection risk. [Read more…]
Dear friends, we are happy to release our 99th technical video on Binary Logistic Regression (BNR)! BNR is an important statistical technique which helps in determining the effect of variable factors on a discrete binary response! Some application examples can be:
• Effect of pouring temperature, pouring time, carbon equivalent on casting defects such as porosity
• Effect of salary, and experience on attrition
• Bankruptcy prediction based on financial ratios.
Hemnat Urdhwareshe, Fellow ASQ, have explained the mathematical basis of the technique and illustrated the technique with an application example on SigmaXL software. We hope you find the video interesting and useful!
Dear friends, many of the viewers had requested for an introductory video on measurement systems analysis (MSA) and Gauge Repeatability and Reproducibility (R&R) Study. We are happy to release this video on MSA! In this video, Hemant Urdhwareshe, Fellow of American Society for Quality, and ASQ Certified Six Sigma Master Black Belt, explains the terminology of measurement systems and also illustrates how to conduct, analyse and interpret the results of a Gauge R&R Study. Hemant has illustrated this with an application example using template from SigmaXL software. Your feedback on the video is welcome!
(Originally published in Quality Magazine, October 2025)
The term Measurement Systems Analysis (MSA) refers to a collection of experimental and statistical methods designed to evaluate the error introduced by a measurement system, and the resulting usefulness of that system for a particular application. In manufacturing, measurement system quality directly affects decisions about processes, products, and a manufacturer’s ability to meet their customer’s requirements.
[Read more…]
Dear friends, We are happy to release this 97th video! Many of you have requested to make this video on Weibull Probability Plotting of Right Censored Data. In this video, Hemant Urdhwareshe, Fellow of ASQ, explains how to construct a Weibull Probability Plot when the data is Right Censored!
Hemant has illustrated the complete procedure, step by step, using Microsoft Excel, with an Application Example!
In the previous episode, the concepts of agile hardware product realization were introduced along with the idea of the ten best practices. Before diving into the details of these, there are a few basics to understand. In this episode Product Realization will be defined at a high level as well as the ideas behind a New Product Development Introduction (sometimes written as NPDI) framework.
In this series, we’ll dive into insights from the soon-to-be-released updated book on hardware product realization by unpacking the strategies, pitfalls, and opportunities that will define the future of building hardware in an AI-driven world.
Dear friends, we are very happy to release this video on the first day of the World Quality Month 2023! Some of you have asked the question about how the formula for success run theorem was derived! You should find answer to that question in this video!
Also, the previous video shows the sample size calculation using template! However, in this video, Hemant Urdhwareshe, Fellow of ASQ, explains the mathematics of it and also illustrates how to perform sample size calculations using Microsoft Excel!
In the push toward digital transformation, automated inspection, and AI-enabled quality systems, it’s easy to overlook the fundamentals that quietly hold everything together. Among them are two terms that are frequently confused, even by seasoned professionals: Calibration and Verification
These words live at the core of measurement assurance, and understanding the difference isn’t academic; it shapes risk decisions, audit outcomes, and ultimately, product quality and reliability.
[Read more…]