Consider the following two targets:
Shooter #1
Shooter #2
Shooter #1 and Shooter #2 both fired 15 rounds into their respective targets. Who is the better marksman? [Read more…]
Measuring Relative Variation: A Review of the Coefficient of Variation
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
Online Meetings
As working at home and virtual teams grow, so does the need for effective online meetings. Having done this in our corporate and consulting life, including with international organizations, we thought we should share some tips with you. [Read more…]
The Most Common FMEA Mistakes and How to Convert Them into Quality Objectives
“Good judgment comes from experience and experience comes from poor judgment.” Will Rogers
Much is learned by observing the mistakes companies have made in doing FMEAs. Based on the experience of over 2,000 FMEAs and working with many companies in a wide variety of applications, certain common mistakes show up repeatedly. In this article, I’ll share ten common FMEA mistakes and how to convert them into quality objectives.
Work from Home
People like the idea of working from home but how can we be most effective? This video provides tips from over 14 years of experience working from home full time. [Read more…]
Root Cause Analysis — What is 8D?
The “D” is 8D stands for “disciplines”, and the 8D process is a problem-solving methodology employing eight sequential disciplines or steps that can be applied to a wide range of industries, situations, and disciplines.
The 8D process was developed in the late 1980’s by the Ford Motor Company to give its engineers a standardized method for dealing with design and manufacturing problems. Ford’s predecessor to 8D was called “TOPS”, Team Oriented Problem Solving. This is a fitting name to the methodology since it strongly emphasizes a team-based approach. In fact, the first of the eight D’s is “Assemble the Team”. [Read more…]
Are you rolling the Product Development dice?
Development challenges are rarely simple. Is your team rolling the dice in hopes it gets resolved quickly? Do you start with two dice in your hand, yet are hoping for a Yahtzee? Understand the risks and impacts and make sure the plan is appropriate. [Read more…]
Root Cause versus Solutions
Many problem solving processes include separate steps for determining root cause and generating potential solutions. In cases where a clear and single cause is identified, maybe there is some sense to this. However, for complex situations the causes tend to be tangled together through interactions, which cannot be determined with simple comparative tests. A well constructed Design of Experiments can uncover the causes and expose the solution at the same time. [Read more…]
Root Cause Analysis — 5 Why Analysis
No discussion of root cause analysis is complete without a review of 5 Why Analysis. This brainstorming technique was developed by Japanese industrialist and founder of the Toyota Motor Corporation, Sakichi Toyoda, and used throughout Toyota since the 1930’s. As the wave of continuous improvement moved through the aviation industry in the 1970’s, the auto industry in the 1980’s, and the healthcare industry in the 1990’s, 5 Why Analysis moved along with it. The tool’s simplicity is what makes it so adaptable in the safety, quality, engineering and production disciplines. [Read more…]
Data Gathering
On the surface, it is easy to run a test. What is less easy is gathering the required and desired information. Set up and analysis do not matter if the data is of low quality. Consider these points to improve your effectiveness. [Read more…]
Using “Mode of Operation” in FMEA
More than one operational mode may need to be considered to ensure that all important failure modes are identified and analyzed in the FMEA. This article focuses on what you need to know about modes of operation when performing FMEAs.
“My favorite mode of transport is hot-air ballooning. It’s so graceful to be blown by the wind, to go where the wind takes you.” Richard Branson
Cause and Effect Diagram
Collecting information about a problem is easy at first. Ideas just flow. At a certain point the question is, did we cover enough ground? Are we missing anything? The Cause and Effect Diagram is a tool to visually help ensure we are broad in our approach. [Read more…]
Root Cause Analysis — Correlating Product and Process Variables
One excellent starting point of the investigation phase of a root cause analysis is the comparison of the product measurements to the available process data. With an effective traceability system, you can define a relatively short time range in which the defective parts were manufactured. Once these “fence posts” are identified, use them to examine the available process data such as the recorded pressures, temperatures, times, and speeds. [Read more…]
Flow Charts
The flow chart is a method to scope a process and gain agreement on conversation context. There are different approaches to creating them. Get an overview here and determine if it can help with your next situation. [Read more…]
Uncle Pareto
Vilfredo Pareto is credited with the Pareto Principle, and thus the Pareto chart. He is NOT my uncle, but many assume he could be! He was an Italian economist, and I do have Italian heritage. The chart allows prioritization to happen, considering the 80/20 rule, or Pareto Principle. We cannot do everything, so where do we start? This is one way to make that choice. [Read more…]
Standard Deviation versus Standard Error
Anyone who has worked around the fields of reliability or quality has certainly bumped into “standard deviation” – a statistic that measures the dispersion within a group of data. [Read more…]
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