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

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.

[Read more…]

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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…]

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

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…]

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

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

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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Making Statistically Confirmed Decisions

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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Accelerated Life Testing (Part 1)

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.

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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…]

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Lognormal Distribution, Concepts and Applications

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…]

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Strategies and Insights from Diffusion of Innovation

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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MTBF Confidence Intervals using tables and Excel Template

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.

[Read more…]

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The Synergy of Structured Problem Solving and Statistical Tools

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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Weibull Distribution Part2: Three-Parameter Weibull, B10 life, Characteristic Life

Weibull Distribution Part2: Three-Parameter Weibull, B10 life, Characteristic Life

This is the second part of our two videos on Weibull Distribution. In this video, Hemant Urdhwareshe discusses few more concepts of Weibull Distribution, such as characteristic life, three-parameter Weibull and B10 life for Weibull Distribution. The concepts are explained with an application case study to calculate reliability using the Weibull Reliability function. The video would be useful to all those who want to learn applicability of Weibull Distribution to estimate reliability and to those who wish to take ASQ CRE, CQE, Six Sigma Black Belt and CMBB certification exams. In Weibull Distribution Part-1, Hemant had explained various basic concepts in Weibull Distribution with brief discussion on mathematical relationships.

[Read more…]

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Key Teaching Principle # 7: Clarity

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.

Speak with Clarity and Confidence

It isn’t about the words you say. It’s about the energetic message you send. Pete Carroll [Read more…]

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Weibull Distribution Part-1

Weibull Distribution Part-1

This is the first of our two videos on Weibull Distribution. In this video, Hemant Urdhwareshe explains the basic concepts of Weibull Distribution, its cumulative and probability functions, hazard function and effect of shape parameter on these functions. Hemant also explains the related mathematical treatment briefly. The concepts are explained with an application case study of tires to calculate reliability within warranty period. The video additionally explains calculating probability of failure and reliability using Microsoft Excel functions. The videos would be useful to those who want to learn applicability of Weibull Distribution to estimate reliability and to those who wish to take ASQ CRE, CQE and CMBB certification exams.

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