Your Reliability Engineering Professional Development Site
Reliability is not the only concern when building a system.
Let’s consider a passenger car. Reliability refers to how often the car in the shop. How often we need to perform preventative or corrective maintenance. How often it fails. [Read more…]
The ability to assemble a system to meet the functional requirements is constrained by the design, the materials, and the tolerances.
Some designs are impossible to assembly. While other designs take little effort to build. The discipline of design for assembly, DFA, applied during the design process can enhance the manufacturing process. [Read more…]
Let’s say you run across a lightweight, inexpensive, easy to manufacture metal that you are considering for a new bike frame. Beyond the functional considerations of strength, size, and finish options what else do you consider?
Is it durable? If it fails how does it fail (a shattering a bicycle frame would not be good, for example). You may also consider how the bicycle will be used and stored. What stress will the frame experience over its lifetime? [Read more…]
People build, transport, use, maintain and dispose of equipment or products.
Thus the creation of these items should include consideration of the humans involved. In order to fully benefit from the functional capability of an item or system, we, as humans, have to interact with an item’s interface, displays, sounds, etc.
Whether a smartphone or bottling machine, the ability to provide commands or direction, the ability to recognize and understand responses, and the ability to correctly identify faults or outputs all combine to permit humans to place calls or fill juice bottles.
It is in the design stage that the elements of a piece of equipment (hardware or software) thwart or enable efficient human interaction. [Read more…]
Early in my career the engineering manager relished discovering equipment failure.
It didn’t matter if it was human, electronic, mechanical or software in nature, the glint in his eye soon gave way to a flood of possibilities. He enjoyed the process of investigating the fundamental reasons a failure occurred. [Read more…]
In 1968 NASA explored where machines and humans would best achieve tasks primarily during space missions. Many of the findings are true today, and in some areas, the differences are blurring.
Machines created by humans continue to improve and take on complex tasks, that once only humans could do. For example, parking a car, now a feature of newer car models. Autonomous driving is happening and continuing to improve. The ability to reason, to foresee and evaluate risks, once thought to be strictly in the domain of human capability is now being done by machines. [Read more…]
Lately, I’ve seen some evidence of reliability engineers giving up.
Throwing in the towel. Going with the flow. Not rocking the boat.
Is that our charter? To roll over and accept that we cannot make a difference?
No, it’s not. [Read more…]
Just back from a trip to Patagonia and catching up with emails and writing this morning. Posting an article for this list is due today along with a touch of travel weariness, decided to share a part of a question received concerning data analysis.
My thought is to post an actual question one of our peers is facing, and meet the deadline for this post. [Read more…]
Does your team procure, setup and put into operation equipment with a single focus on reducing the initial capital expenditure?
Do you work with your equipment suppliers to fully specify the equipment’s functions, performance, and reliability? Maybe not the reliability? [Read more…]
Or, how to master the body of knowledge and be an effective reliability engineer.
Yes, there is a lot to know concerning reliability engineering. You should have a firm grasp of statistics, modeling, laboratory and experimental procedures, failure analysis skills, and more. [Read more…]
If a human is going to build, install, monitor, use, operate, repair, or dismantle, then the design team must consider human factors.
According to Wikipedia
Ergonomics (or human factors) is the scientific discipline concerned with the understanding of interactions among humans and other elements of a system, and the profession that applies theory, principles, data and methods to design in order to optimize human well-being and overall system performance.
You may have been tapped one morning and given the assignment. You may have pursued the role either via a university program or by simply applying for the position.
Now what? How do you start in this role? What are you expected to do? [Read more…]
Products and equipment start with a design. The functions and performance occur or do not occur according to the capabilities designed into the system.
I learned early in my career, as a manufacturing engineer, that some products were much easier to manufacture (less yield loss) than others, and it was often the design of the product that made the difference. [Read more…]
Maintaining high reliability or availability is a marked advantage for any system. A system that achieves the ability to avoid system downtime due to a single failure event, is essential in many applications. Yet, the fault tolerant capability comes at a price.
A system that achieves the ability to avoid system downtime due to a single failure event, is essential in many applications. Yet, the fault tolerant capability comes at a price.
Here is a short list and brief description of fault tolerant design disadvantages:
The nature of a fault tolerance design is to continue to operate normally even with a component failure.
Thus if the ability to detect a component failure relies on a loss of function or capability, it may be difficult to detect the failure. This sets the stage for a second component failure to cause a system downing event. [Read more…]
A common and poor technique to gather field data is to count the number of returns by week or month. This can provide a graph showing the number of returns over time.
It hides information you need to understand your field failures.
Let’s take a look at a way to gather the same field failure data and retain the critical information necessary for time to failure analysis. [Read more…]