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by Andre Kleyner 8 Comments

SOR 232 Bayesian Statistics and Sample Sizes

SOR 232 Bayesian Statistics and Sample Sizes

Bayesian Statistics and Sample Sizes

Abstract

Andre and Fred discussing the benefits of using what you know as you approach setting sample sizes using Bayesian statistics.
ᐅ Play Episode

Filed Under: Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance Tagged with: statistics

by James Kovacevic 2 Comments

SOR 230 Improving Spares Stocking without Statistics

SOR 230 Improving Spares Stocking without Statistics

Improving Spares Stocking without Statistics

Abstract

James and Fred discussing a better way to set stocking levels of spares.
ᐅ Play Episode

Filed Under: Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance Tagged with: statistics

by James Kovacevic 3 Comments

SOR 229 Should You Be Afraid of Statistics?

SOR 229 Should You Be Afraid of Statistics?

Should You Be Afraid of Statistics?

Abstract

James and Fred discussing dealing with the data we gather.
ᐅ Play Episode

Filed Under: Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance Tagged with: statistics

by James Kovacevic Leave a Comment

44 – What is a Monte Carlo Analysis with Fred Schenkelberg

44 – What is a Monte Carlo Analysis with Fred Schenkelberg

What is a Monte Carlo Analysis with Fred Schenkelberg

In today’s episode, the guest Fred Schenkelberg explains the Monte Carlo simulation in a fair amount of detail. Before you get in the depth of how the tool works, you need to understand what basically this method is. The Monte Carlo simulation has been around since World War 2 and it is a mathematical technique that works based on probability functions, random variables, and the distribution of statistical data. The main concept of it to give the decision maker the most obvious choices while facing any risks to get the best out of every possible outcome. The tool serves the purpose for getting a better insight of the consequences relative to each choice the person making decisions has to make. When you’re looking for the reliability of your assets and checking the integrity of your different maintenance programs, it is a really powerful tool.
ᐅ Play Episode

Filed Under: Rooted in Reliability: The Plant Performance Podcast Tagged with: Analysis, Data, Data Analysis, Fred Schenkelberg, Monte Carlo, reliability, statistics

by Andre Kleyner 2 Comments

SOR 189 When and Why Use Statistics

SOR 189 When and Why Use Statistics

When and Why Use Statistics

Abstract

Andre and Fred discussing the language of variation and why you need to speak this language as a reliability engineer.
ᐅ Play Episode

Filed Under: Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance Tagged with: statistics

by Adam Bahret Leave a Comment

SOR 102 Our Go-to Reliability Engineering Tools

SOR 102 Our Go-to Reliability Engineering Tools

Our Go-to Reliability Engineering Tools

Abstract

Adam and Fred discussing the role of statistical tools in everyday reliability engineering.
ᐅ Play Episode

Filed Under: Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance Tagged with: statistics, tools

by Fred Schenkelberg Leave a Comment

Reliability Distributions and Their Use

Reliability Distributions and Their Use

Reliability Distributions and Their Use

How do you use the Weibull Distribution?

It’s just one of many useful statistical distributions we have to master as reliability engineers.

Let’s explore an array of distribution and the problems they can help solve in our day to day work.
ᐅ Play Episode

Filed Under: Accendo Reliability Webinar Series Tagged with: statistics

by Fred Schenkelberg Leave a Comment

Making Use of Reliability Statistics

Making Use of Reliability Statistics

Making Use of Reliability Statistics

Mastering the statistical tools related to reliability engineering allows you to master reliability.

Identify, characterize, understand, predict, and improve reliability all require statistics. Let’s discuss how it works and will work for you.
ᐅ Play Episode

Filed Under: Accendo Reliability Webinar Series Tagged with: statistics

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