Hemant Urdhwareshe — New Contributor

Author of the Institute of Quality & Reliability article series. This author's archive lists contributions to articles and episodes.

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Reliability Testing Sampling Plans Part-2 (PRST and Fixed Length Plans)

Dear friends, Institute of Quality and Reliability is happy to release this video on Reliability Testing Sampling Plans. In this is Part-2 of the video, Hemant Urdhwareshe has explained the Probability Ratio Sequential Test (PRST) and Fixed Length plans from MIL-Handbook-781. These include illustrated explanation of the plans and applicability.

We are sure, viewers will find this video useful!

Earlier, we released part 1 of the video, in which Hemant explained the concepts of sampling risks and operating characteristics (OC) curves.

We also suggest viewers to see our related videos on Hazard Rate and related concepts for better understanding of this video.

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Reliability Sampling Plans Part-1 (Basic Concepts)

Dear friends, Institute of Quality and Reliability is happy to release this video on Reliability Sampling Plans. In this is Part-1 of the video, Hemant Urdhwareshe has explained the basic concepts in Sampling plans. These include Sampling Risks and Operating Characteristics. We are sure, viewers will find this video useful!

We will release part-2 of the video where Hemant will explain Fixed Length Reliability Test Plans and Sequential Test Plans (PRST).

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Sample size in Reliability Testing: Part-2

This is my second video on Sample Size in Reliability Testing! In this video, we will explain the Weibayes Approach to estimate sample size and estimating test length when sample size and shape parameter is known.

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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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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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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.

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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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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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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.

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Tolerance Intervals

In this video, Hemant Urdhwareshe explains how to estimate tolerance interval at given confidence level and specified percentage of distribution. The purpose of tolerance intervals is to assure that the tolerance limits specified during design are achievable during production! Often, the designers specify tolerance limits that are not demonstrated and create lot of rework and/or rejection during production phase. This can increase cost of poor quality (COPQ) and result in redesign of the product and/or revising specifications after the product is released for production. Changes made after product launch can be expensive

I am adding a small correction: at 7:01 minute, please read the tolerance interval as 152 to 308, (and not 358 as shown in the footer).

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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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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.

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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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Hazard Rate and Related Concepts in Reliability Engineering

In this video, Hemant Urdhwareshe explains concept of hazard rate which is very important in reliability engineering and also in insurance business! The video will be useful to all those who want to understand this basic concept. It will be also be useful to all those who wish to prepare for ASQ Certified Reliability Engineer (CRE) exam.

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