FMEA Part-3
Dear freinds, we are glad to release this part-3 of our series on FMEA. In this video, Hemant Urdhwareshe illustrates two application case studies in using DFMEA.
[Read more…]DFMEA Application Case Studies
on Tools & Techniques
A listing in reverse chronological order of articles by:
- Dennis Craggs — Big Data Analytics series
- Perry Parendo — Experimental Design for NPD series
- Dev Raheja — Innovative Thinking in Reliability and Durability series
- Oleg Ivanov — Inside and Beyond HALT series
- Carl Carlson — Inside FMEA series
- Steven Wachs — Integral Concepts series
- Shane Turcott — Learning from Failures series
- Larry George — Progress in Field Reliability? series
- Gabor Szabo — R for Engineering series
- Matthew Reid — Reliability Engineering Using Python series
- Kevin Stewart — Reliability Reflections series
- Anne Meixner — Testing 1 2 3 series
- Ray Harkins — The Manufacturing Academy series
10: Controlled Introduction, Part 1
Article by Mike Freier
In the last blog post, we discussed how to validate your product and cover some of the important testing that your engineering teams should plan on to ensure your product meets all the requirements outlined in the engineering design specification.
Transitioning from engineering and beta units to high volume production involves finding a contract manufacturer (CM) as well as sub-tier volume suppliers, signing a deal with the CM, and handing off the set of data and instructions to make your product. Read on to learn what to lookout for in each step in the process of scaling your product into volume manufacturing.
[Read more…]How to use DFMEA form and Rating Guidelines
Dear friends, we are happy to release this FMEA Part-2 video. In this video, Hemant Urdhwareshe explains how to use the DFMEA form. He also explains briefly the guidelines for Severity, Occurrence and Detection rating as per AIAG VDA first edition and logic for setting priorities for action plan.
[Read more…]9: Validation
Article by Mike Freier
In the last blog post, we discussed how incorporating Agile principles can improve your hardware product development process. Not only will you be able to accelerate your schedule, but you can also develop higher quality products with lower costs and reduced risks. Furthermore, Agile frameworks and techniques can fit into your existing new product introduction (NPI) and stage gate process, so your high-level standard operating procedures do not have to change.
Once you have engineering and beta units in hand, validation and verification can begin. In this stage, engineering teams should test your product against the engineering design specification to verify that your product meets the performance, reliability, regulatory, manufacturing test, and safety goals.
[Read more…]Estimate Reliability Functions Without Life Data
ASQC Reliability Review, Vol. 13, March 1993
This paper shows how to estimate field reliability functions from ships and returns. It offers to estimate field reliability functions from your data. It suggests how you can use these estimates to improve service and inventory management. [Links to Google Sheet and user guide follow the paper.]
You can estimate field reliability functions without life data. You don’t need to know each part’s time to failure. In fact, if you don’t know times to failures, you have to estimate field reliability functions from ships and returns, unless you have a sample of times to failures, and some of the sample failed.
Planning and Preparing for DFMEA
FMEA Part-1
Dear friends, we are happy to release this DFMEA Part-1 video. In this video, we have tried to explain how to plan and prepare for DFMEA. Hope you find it interesting and useful. Your feedback welcome!
[Read more…]What is Design of Experiments?
If you work in manufacturing, quality, or engineering, you’ve probably heard the term “Design of Experiments,” or DOE. Maybe you’ve even helped collect data for one without fully understanding what was going on behind the scenes. That’s okay. DOE is a sophisticated statistical method, but even if you’re not the one crunching the numbers, understanding the big ideas behind it can make you a more effective technician, engineer, or manager.
At its core, Design of Experiments is a structured statistical approach to testing. It helps us understand how different inputs (or factors) affect an outcome (or response). Whether you’re adjusting a process to improve tensile strength, dialing in machine settings to reduce defects, or figuring out which supplier provides the most consistent material, DOE helps answer one big question: What settings or conditions will give me the result I want?
[Read more…]8: Development – Part 2: Manufacturing Strategy
Article by Mike Freier
Manufacturing is an essential step in a new product launch that requires a thoughtful strategy. In this stage, teams define a manufacturing strategy, create a development schedule, and built units to test.
Fault Tree Analysis (FTA)
Dear friends, we are happy to relaese this video on Fault Tree Anlayis FTA). FTA is an important technique used in reliability engineering. Hope you find the video interesting! Link to our video on Binomial distribution
[Read more…]7: Development – Part 1: Agile Hardware Development
Article by Mike Freier
In the last blog post, we discussed why Design for Excellence (DfX) is important to your business. Building on several important concepts, this blog will focus on the Product Development phase and discuss how incorporating Agile principles can improve and accelerate your hardware product development process.
[Read more…]Quality Objective 5: TEAM
Many ideas grow better when they are transplanted into another mind than the one where they sprang up. Oliver Wendell Holmes
In this article, I will outline how to evaluate an FMEA against the FMEA Quality Objective for FMEA Team. I’ll include relevant information from the chapter in the FMEA Preparation series called “Assembling the Correct FMEA Team.”
Extended Crow AMSAA Reliability Growth Model
Dear friends, we are happy to release this video on relatively unknown subject of Extended Reliability Growth Model! Please watch our previous videos on the subject of Reliability Growth before watching this video.
Links are provided below:
Reliability Growth Introduction and Duane Model
Crow AMSAA Reliability Growth Model
[Read more…]Kolmgorov-Smirnov Two-Sample Test for Censored Data
Submitted to ASQC Reliability Review, Nov. 1996
A client wanted to compare the Kaplan-Meier (nonparametric maximum likelihood) estimators of the reliabilities of the old and new products. That is, he wanted me to test reliability functions, Ho: R1(t)=R2(t) for all nonnegative t vs. Ha: R1(t)≠R2(t) for some nonnegative t.
Because I’m lazy and fixed in my ways and because I thought it would be easier to explain, I chose the Kolmgorov-Smirnov (K-S) test [Gnendenko]. It’s convenient, practically every statistics text has the tables, and I can program tables and the test statistic easily. The test uses the maximum absolute difference between the Kaplan-Meier estimates of the two reliability functions. Reject Ho if maximum absolute difference, Dmn=max|R1(t)-R2(t)| exceeds a critical value, where m and n are the two sample sizes.
[Read more…]6: Design & Planning – Part 3: Design for Excellence (DfX)
by Mike Freier
Design for Excellence (DfX) is a holistic approach to designing a hardware product that takes into account how the product is made at scale. In addition to understanding your manufacturing plan and target costs, there are six categories to consider: assembly, cost, manufacturing, test, service, and supply chain.
[Read more…]Reliability Growth: Crow AMSAA Model with Application Case Study
Dear All, we are happy to release our 76th video on Crow AMSAA Model for Reliability Growth. We recommend viewers to watch the following videos before watching this video for better experience:
(1) Homogeneous Poisson Process (HPP) and Nonhomogeneous Poisson Process (NHPP)
(2) Reliability Growth Concepts and Duane Model with Illustration
We welcome your feedback!
[Read more…]