Artwork

เนื้อหาจัดทำโดย Accendo Reliability and Fred Schenkelberg เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Accendo Reliability and Fred Schenkelberg หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal
Player FM - แอป Podcast
ออฟไลน์ด้วยแอป Player FM !

Dealing with Small Sample Sizes

 
แบ่งปัน
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on November 30, 2024 19:21 (4d ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 394809922 series 2359252
เนื้อหาจัดทำโดย Accendo Reliability and Fred Schenkelberg เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Accendo Reliability and Fred Schenkelberg หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal

Dealing with Small Sample Sizes

podcast episode with speaker Fred Schenkelberg

It's rare to have sufficient samples for all the desired reliability work. It's common to have very few samples. So, how does one manage to learn what is necessary to learn from the few samples? How can you maximize the value of reliability work in the scant sample situation?

Let's discuss a few approaches and a process that enable you and your team first to have the right amount of samples. And what can be done when there are too few samples available? The trick is to start with what future decisions need better information and not start with how many samples you have.

There are three strategies to deal with small sample sizes. First, focus on the critical information only samples can provide and how valuable that information is to the team. Second, use other methods to create the needed information without using samples. Third, organize the various testing and measurements of the sample allocated to reliability testing along with samples or units assigned to other sections of the team to extract as much information as possible.

This Accendo Reliability webinar was originally broadcast on 9 January 2024.


To view the recorded video, visit the webinar page.

Related content:

ALT Sample Size episode
Reliability and Sample Size episode
Determine Success Testing Sample Size article
Three Elements of Sample Size Concerning Decision Making article
Three Considerations for Sample Size article

Sketch of Claveau cathedrale Rouen

Building a Reliability Plan

Let's discuss how to build an effective reliability plan that fits your specific situation. The key is to add value with each step.

Sketch of Claveaux arc ogive

Create a Meaningful Environmental Test Plan

Let's explore the steps and resources you should consider when creating an environmental test plan for each product.

Basic Steps to Building Your Reliability Plan

Let's discuss the basic elements and critical questions as you build your reliability plan fitting the right tasks to each situation.

Selecting the Right Reliability Tools

There are dozens of reliability tools. How does a reliability practitioner know which specific tools to use in a new reliability program?

Creating an Effective Reliability Plan

A Reliability plan is a guide to achieve the organization's reliability objectives. A few steps and considerations will make a plan effective.

Selecting Reliability Engineering Tools

The selection hinges on knowing what is available, understanding the current situation, and available information, plus ...

Essential Reliability Engineering Techniques

Your science, engineering, and math formal training will serve you well as a reliability engineer, and that is not enough to be successful.

6 Essential Reliability Engineering Formulas

Using a formula requires understanding the purpose, limitations, and assumptions involved. It also requires using the right formula.

Reliability as a Process

The idea is to explore in detail why we think achieving reliability objectives is best done using a process approach.

Deliberate Reliability Testing

Let's explore the many reasons to conduct testing and how to clearly link those tests to the decisions that rely on the test results.

Dealing with Small Sample Sizes

Let's discuss approaches that enable you and your team first to have the right number of samples and then how to deal with too few samples.

Building a Reliability Plan updated

This is an overview of the six steps to achieve high reliability from Carl and Fred's book. Creating and executing a reliability plan

Selecting a Reliability Method

As reliability engineers, we generate information for the use of decision-makers. It is how we influence decisions that create value.

The post Dealing with Small Sample Sizes appeared first on Accendo Reliability.

  continue reading

71 ตอน

Artwork
iconแบ่งปัน
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on November 30, 2024 19:21 (4d ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 394809922 series 2359252
เนื้อหาจัดทำโดย Accendo Reliability and Fred Schenkelberg เนื้อหาพอดแคสต์ทั้งหมด รวมถึงตอน กราฟิก และคำอธิบายพอดแคสต์ได้รับการอัปโหลดและจัดหาให้โดยตรงจาก Accendo Reliability and Fred Schenkelberg หรือพันธมิตรแพลตฟอร์มพอดแคสต์ของพวกเขา หากคุณเชื่อว่ามีบุคคลอื่นใช้งานที่มีลิขสิทธิ์ของคุณโดยไม่ได้รับอนุญาต คุณสามารถปฏิบัติตามขั้นตอนที่แสดงไว้ที่นี่ https://th.player.fm/legal

Dealing with Small Sample Sizes

podcast episode with speaker Fred Schenkelberg

It's rare to have sufficient samples for all the desired reliability work. It's common to have very few samples. So, how does one manage to learn what is necessary to learn from the few samples? How can you maximize the value of reliability work in the scant sample situation?

Let's discuss a few approaches and a process that enable you and your team first to have the right amount of samples. And what can be done when there are too few samples available? The trick is to start with what future decisions need better information and not start with how many samples you have.

There are three strategies to deal with small sample sizes. First, focus on the critical information only samples can provide and how valuable that information is to the team. Second, use other methods to create the needed information without using samples. Third, organize the various testing and measurements of the sample allocated to reliability testing along with samples or units assigned to other sections of the team to extract as much information as possible.

This Accendo Reliability webinar was originally broadcast on 9 January 2024.


To view the recorded video, visit the webinar page.

Related content:

ALT Sample Size episode
Reliability and Sample Size episode
Determine Success Testing Sample Size article
Three Elements of Sample Size Concerning Decision Making article
Three Considerations for Sample Size article

Sketch of Claveau cathedrale Rouen

Building a Reliability Plan

Let's discuss how to build an effective reliability plan that fits your specific situation. The key is to add value with each step.

Sketch of Claveaux arc ogive

Create a Meaningful Environmental Test Plan

Let's explore the steps and resources you should consider when creating an environmental test plan for each product.

Basic Steps to Building Your Reliability Plan

Let's discuss the basic elements and critical questions as you build your reliability plan fitting the right tasks to each situation.

Selecting the Right Reliability Tools

There are dozens of reliability tools. How does a reliability practitioner know which specific tools to use in a new reliability program?

Creating an Effective Reliability Plan

A Reliability plan is a guide to achieve the organization's reliability objectives. A few steps and considerations will make a plan effective.

Selecting Reliability Engineering Tools

The selection hinges on knowing what is available, understanding the current situation, and available information, plus ...

Essential Reliability Engineering Techniques

Your science, engineering, and math formal training will serve you well as a reliability engineer, and that is not enough to be successful.

6 Essential Reliability Engineering Formulas

Using a formula requires understanding the purpose, limitations, and assumptions involved. It also requires using the right formula.

Reliability as a Process

The idea is to explore in detail why we think achieving reliability objectives is best done using a process approach.

Deliberate Reliability Testing

Let's explore the many reasons to conduct testing and how to clearly link those tests to the decisions that rely on the test results.

Dealing with Small Sample Sizes

Let's discuss approaches that enable you and your team first to have the right number of samples and then how to deal with too few samples.

Building a Reliability Plan updated

This is an overview of the six steps to achieve high reliability from Carl and Fred's book. Creating and executing a reliability plan

Selecting a Reliability Method

As reliability engineers, we generate information for the use of decision-makers. It is how we influence decisions that create value.

The post Dealing with Small Sample Sizes appeared first on Accendo Reliability.

  continue reading

71 ตอน

Minden epizód

×
 
Loading …

ขอต้อนรับสู่ Player FM!

Player FM กำลังหาเว็บ

 

คู่มืออ้างอิงด่วน