In this video, you will learn how to perform statistical calculations: mean and standard deviation on Casio fx991-MS Calculator.
[Read more…]Using Casio FX 991 MS Calculator for Statistical Calculations
on Tools & Techniques
A listing in reverse chronological order of articles by:
- Dennis Craggs — Big Data Analytics series
- Perry Parendo — Experimental Design for NPD series
- Dev Raheja — Innovative Thinking in Reliability and Durability series
- Oleg Ivanov — Inside and Beyond HALT series
- Carl Carlson — Inside FMEA series
- Steven Wachs — Integral Concepts series
- Shane Turcott — Learning from Failures series
- Larry George — Progress in Field Reliability? series
- Gabor Szabo — R for Engineering series
- Matthew Reid — Reliability Engineering Using Python series
- Kevin Stewart — Reliability Reflections series
- Anne Meixner — Testing 1 2 3 series
- Ray Harkins — The Manufacturing Academy series
Unveiling the Kano Model of Customer Satisfaction
In the ever-evolving landscape of engineering and design, strategic frameworks play a pivotal role in deciphering the intricate dynamics of customer satisfaction. Consider, for example, the Kano Model of Customer Satisfaction, brainchild of management science professor, Noriaki Kano. This model offers a nuanced approach to understanding the diverse aspects of customer satisfaction, making it a valuable tool for engineers and design professionals as they transition from problem definition to ideation and prototyping. [Read more…]
What if Ships Cohorts Were Random?
The Kaplan-Meier reliability estimator is for dead-forever products or parts, given individual lifetime data or a “Nevada” table of periodic ships cohorts and their grouped failure counts. This estimator presumes that ships cohorts are NOT random. Production, sales, installed base, and cohort case counts are random! What does that do to Kaplan-Meier reliability estimates? What is the nonparametric reliability function estimator if ships cohorts are random?
[Read more…]Key Teaching Principle #1: Understanding
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.
Understand What You Teach
Key Teaching Principle # 1 is the instructor demonstrates a solid understanding of fundamentals, speaking directly to students, and not reading slides.
“Human behavior flows from three main sources: desire, emotion, and knowledge.” Plato
When is FMEA complete?
“Life calls not for perfection, but for completeness.” Carl Jung
One of the common FMEA questions that comes up is: When is an FMEA complete? You’d think it would be simple, but many organizations and practitioners get it wrong.
In this article, I’ll begin with the purpose of Design and Process FMEAs, and from there, we’ll examine two very different approaches to completing an FMEA.
Mastering the Art of Empathy in Design Thinking
Welcome to the realm where reliability engineering meets product design—a landscape where innovation thrives on understanding and addressing customer pain points. In this guide, we will explore the intricate dance of empathy within the design thinking process, offering engineers and designers a roadmap to navigate the complexities of customer-centric problem-solving.
At the heart of the design thinking process lies the empathize phase—a journey that begins with a courageous act: wiping the slate clean of preconceived notions and biases. For seasoned professionals, this is akin to stepping into the unknown. Design thinking demands a reset—a departure from the comfort of accumulated solutions and a return to the essence of the problem.
[Read more…]Enhancing the Performance and Durability of Forged Steel with Annealing
with co-author Dr. Jay Desai
Steel forging holds significant importance in developed economies around the world. It is used to shape raw materials into precisely designed components that often have critical performance requirements. Due to their strength, durability, and reliability in harsh environments, forged steel components are utilized in a wide range of industries including aerospace, automotive, defense, and construction.
[Read more…]New Series: Principles of Effective Teaching
Principles of Effective Teaching
“I never teach my pupils. I only attempt to provide the conditions in which they can learn.” Albert Einstein
Reliability engineers, FMEA team leaders, and other quality and reliability professionals are often called upon to teach the principles of reliability or FMEA. This article is the beginning of a new series called “The principles of effective teaching.”
If you want to convey knowledge to another person, you are teaching. If you want to learn from another person who is teaching, you will benefit from learning these principles.
Kaplan-Meier Estimator for Renewal Processes?
The New-Products manager asked me, “Your actuarial failure rate estimates (from vehicle registrations, bills-of-materials, and automotive aftermarket store sales) are for dead-forever parts with at most one failure. What if auto parts could be renewed or replaced more than once?” Chagrined, I wrote a spreadsheet program to estimate actuarial rates for renewal processes, without life data. But what is the corresponding estimator from grouped, cohort renewal counts like the Kaplan-Meier estimator for grouped, cohort failure counts?
[Read more…]FMEA Effect – Mitigated or Unmitigated?
“The important thing is not to stop questioning.” Albert Einstein
I always encourage readers to ask questions, and include a link in my article to make it easy. Asking questions is a great way to learn.
A reader recently asked, “When performing an FMEA, should the effect consider the mitigated case or unmitigated case? In this article we will look at different aspects that can be considered in order to answer the question.
Estimate Field Reliability Without Life Data!
Fred wrote, “I would like to suggest that you continue writing articles – make them more tutorial in nature as if teaching someone the stats from scratch that you use in your articles. Instead of loads of references to papers and procedures, explain the concepts and math involved.” OK, I’ll try.
Nonparametric field reliability estimators require no unwarranted distribution assumptions and they preserve all information in data. Here’s how to compute them, without life data, while preserving all relevant information in ships and returns counts.
[Read more…]Operator Error?
An “Inside FMEA” reader recently asked a question on the subject of Process FMEAs, specifically whether assigning the cause as “operator error” is useful. This article will share insights into the nature of a cause in Process FMEA, and whether describing cause as “operator error” adds value.
Fred and I podcasted on this topic. Link to the podcast is here.
I’ve seen literally hundreds of Process FMEAs that list “operator error” as the cause of a process related failure mode. Let me be as clear as I can. Assigning “operator error” as the cause in a Process FMEA does not add value. I’ll explain. [Read more…]
The Crucial Connection Between APQP and Product Reliability
In today’s competitive business landscape, ensuring the reliability of products is paramount for any company aiming to maintain a strong market presence and satisfy customer expectations. One essential tool that plays a pivotal role in achieving this goal is Advanced Product Quality Planning (APQP). Understanding the major components of APQP and how it is intertwined with reliability provides design and engineering professionals with a framework for assuring early success in a product launch.
[Read more…]Certificate in Reliability Statistics
Azmat Siddiqi suggested a certification in reliability statistics in 2022. Azmat believes in knowing and using the reliability statistical information in test, installed base, failures, and service data. Thanks Azmat.
I propose Certification in Reliability Statistics to recognize statistics knowledge, work experience, and applications. Certification in Reliability Statistics should provide assurance to employers, contractors, and collaborators that reliability statistics are estimated and used to the best extent with available data, including uncertainty quantification, with or without life data.
[Read more…]The Softer Side of Success: Unlocking the Power of Soft Skills
In the world of reliability and quality engineering, technical expertise and domain knowledge have always been highly valued. Engineers are expected to possess a strong foundation of technical skills to excel in their roles. However, in today’s rapidly evolving workplace, it has become increasingly evident that technical ability alone is not enough to guarantee success. The modern engineering professional must recognize and embrace the importance of soft skills to complement their analytical skills.
In this blog post, we will dive into the significance of soft skills in the workplace and how they can enhance the effectiveness and success of reliability and quality engineering professionals.
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