Insert these pages into your copy of MIL-HDBK-217. The boldface text is changed to MIL-HDBK-217E [1], section 5.2, on parts count reliability prediction. The changes explain how to use “Paretos,” proportions of parts failing in the field, to compute a reality factor that makes predicted Paretos match field Paretos. You can use field Paretos to calibrate predictions for new equipment. You probably have field Paretos on related parts used in your other equipment, which is now in the field. Remember, the field determines reliability.

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by Hemant Urdhwareshe Leave a Comment

Sample size in Reliability Testing Part-1 (One-shot Devices)

Dear friends, I am happy to release this video about determining sample size in reliability and functional testing! The video discusses determining sample size with Success Run Theorem (or Success Testing) will zero failures as well as given number of failures. I have illustrated use of basic formula and calculation as well as use of various templates to determine sample size. Hope you find this important and interesting!

This is part-1 of my videos on sample size! We recommend viewers to watch our video on Binomial Distribution before watching this video, in case they have not seen it before

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by Ray Harkins Leave a Comment

Making the Decision to Improve

Co-authored by Mike Vella

Hard work alone doesn’t guarantee success in business. Even after you’ve invested your inspiration, money, emotions, creativity, and prayers, the reality is that we live in a highly competitive world. You can’t afford to simply tread water. So, let’s assume you’ve either made a strong start in your field or joined a profitable company. What ensures that your future will be better than today? The answer lies in leadership and the team deciding to continually evolve, change, and improve.

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by Hemant Urdhwareshe Leave a Comment

DOE-7: Analyse Factorial Design with Minitab: Case Study in Maximizing Fatigue Strength

Dear friends, this is part-2 of our video on Design of Experiments using Minitab. In part-1, Hemant Urdhwareshe had explained how to create design using Minitab. In this part-2 of the video, Hemant has illustrated complete details of analysis of the design using Minitab. Analysis includes interpretation of Minitab output in voice and text!

We are sure, you will find this video extremely useful for Quality Practitioners, Reliability Engineers, Design and Process Engineers, Six Sigma Professionals, Design for Six Sigma practitioners. Some corrections at 5:21 — The R-sq value is 95.45, R-sq Adjusted is 92.53 and R-sq Predicted is 86.63%. There is some error in these figures in the video. Apologise for the oversight.

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by Carl S. Carlson Leave a Comment

Key Teaching Principle # 9: Constructive Feedback

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As covered in the first article in this series, Principles of Effective Teaching, reliability engineers, FMEA team leaders, and other quality and reliability professionals are often called upon to teach the principles of reliability or FMEA. Whether you are a student who wants to enhance your learning experience, an instructor who wants to improve teaching results, or an engineer who wishes to convey knowledge to another person, this series will offer practical knowledge and advice.

Provide constructive feedback to students

“True intuitive expertise is learned from prolonged experience with good feedback on mistakes” Daniel Kahneman

Key Teaching Principle #9 is the instructor always answers questions in a meaningful way, and provides consistently positive critiques to students to enhance their learning. [Read more…]

by Hemant Urdhwareshe Leave a Comment

DOE-6: Case Study in Creating Full Factorial Design in Minitab: Optimization of Fatigue Strength

Hello friends, We are happy to release this sixth video on Design of Experiments (DOE)! In this video, Hemant Urdhwareshe has illustrated step by step, how to create a full factorial design in Minitab software. In the next video, Hemant will illustrate complete analysis of the design in Minitab! We are sure, you will find this video extremely useful for Quality Practitioners, Design and Process Engineers, Six Sigma Professionals, Design for Six Sigma practitioners.

[Read more…]

by Hemant Urdhwareshe 1 Comment

Accelerated Life Testing Part-3 (Case Study in Minitab Software)

Dear viewers, I am happy to release this third video on Accelerated Life Testing. In this video of part-3, we have explained how to use Minitab software to analyse data of accelerated life test. The illustration uses Arrhenius Model, but the technique can be applied to other models as well.

The video will be useful to all those who want to learn and apply technique of Accelerated Life Testing. It would be of help to those who wish to take ASQ CRE certification exam. It would also be useful to DFSS practitioners.

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Accelerated Life Testing (ALT) Part-2

Dear viewers, I am happy to release this second video on Accelerated Life Testing. In this video, we have discussed (i) Various models used to estimate the acceleration factor, such Arrhenius, Power law etc. (ii) Application examples showing calculation of acceleration factor (iii) Some mathematical relationships to estimate reliability at normal operating conditions and illustrated examples (iv) Types of stress loading used in ALT.

The video will be useful to all those who want to learn ALT and its mathematical relationships. It would be of great help to those who wish to take ASQ CRE certification exam. It would also be useful to DFSS practitioners.

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by Ray Harkins Leave a Comment

Making Statistically Confirmed Decisions

Co-authored with Mike Vella

Leaders and managers play many roles: planning, scheduling, coaching, teaching, supervising, hiring, and sometimes firing. While much of this work is routine, it often involves making decisions. Some decisions are low-risk with clear facts and limited options. Others are made with murky details, unknown options, and high risks if incorrect. Regardless, decision-making often falls to leaders and managers. Theodore Roosevelt, the 26th President of the United States, famously said: “In any moment of decision, the best thing you can do is the right thing, the next best thing is the wrong thing, and the worst thing you can do is nothing.”

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by Hemant Urdhwareshe 1 Comment

Accelerated Life Testing (Part 1)

This is our first video on ALT in a series of videos on this important topic in reliability engineering. In this video, Hemant Urdhwareshe has introduced basic concepts of ALT. In our subsequent videos on ALT, we will do a more detailed discussion on mathematical treatment, selection of appropriate model and statistical distribution. We will explain these with application example on Minitab software. Hemant is a Fellow of ASQ and is ASQ CRE, CMBB, CSSBB, CQE and CMQ/OE. We are sure that viewers will find it useful.

[Read more…]

by Carl S. Carlson 2 Comments

Key Teaching Principle # 8: Pace of Teaching

As covered in the first article in this series, Principles of Effective Teaching, reliability engineers, FMEA team leaders, and other quality and reliability professionals are often called upon to teach the principles of reliability or FMEA. Whether you are a student who wants to enhance your learning experience, an instructor who wants to improve teaching results, or an engineer who wishes to convey knowledge to another person, this series will offer practical knowledge and advice.

Manage pace of teaching to optimize learning

“The way we spend our time defines who we are.” Jonathan Estrin [Read more…]

by Hemant Urdhwareshe Leave a Comment

Lognormal Distribution, Concepts and Applications

We are happy to release this video on Lognormal Distribution which is a popular distribution to model failures of non-repairable items. In this video, Hemant Urdhwareshe has explained basic concepts of lognormal distribution and its application examples. Hemant also explains its mathematical relationships to calculate MTTF, standard deviation and other parameters In addition, in the video, Hemant has illustrated how to use Minitab and Excel to visualise Lognormal Distribution. Hemant is a Fellow of ASQ and is ASQ CRE, CMBB, CSSBB, CQE and CMQ/OE. We are sure that viewers will find it useful.

[Read more…]

by Ray Harkins Leave a Comment

Strategies and Insights from Diffusion of Innovation

Co-authored by Mike Vella and Ray Harkins

Leaders often initiate change. They are expected to develop a vision for their organization (what we want to become) and create a mission (how we are going to get there). This implies that leaders are dissatisfied with the current state and are motivated to work towards a better future.

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by Hemant Urdhwareshe Leave a Comment

MTBF Confidence Intervals using tables and Excel Template

In this video, Hemant Urdhwareshe explains concept of Confidence Intervals for Mean Time Between Failures (MTBF). The concept is explained for time terminated and failure terminated tests. The calculation is illustrated with Chi-square distribution tables and also Excel Template created by IoQR. The video would be useful to those who want to learn these concepts and learn how to calculate MTBF confidence intervals using tables. It will be beneficial to those who wish to take ASQ CRE, CQE, Six Sigma Black Belt and CMBB certification exams.

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by Ray Harkins Leave a Comment

The Synergy of Structured Problem Solving and Statistical Tools

Co-authored by Mike Vella and Ray Harkins

How many times have we heard that we must tolerate poor process performance because it’s “the nature of the beast” or its excess variability is considered “normal”? How much does financial performance suffer due to allowances for alarming levels of scrap, low yields, or losses considered “best practice” for the industry? Improving these situations requires a great team, supportive management, and cooperative suppliers. Beyond the support, operations and quality leaders must know a systematic method of problem-solving and have access to statistical tools to drive the data through to a solution.

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