A Brief Introduction to Reliability

A Formal Definition

Reliability engineering provides the theoretical and practical tools whereby the probability and capability of parts, components, equipment, products and systems to perform their required functions for desired periods of time without failure, in specified environments and with a desired confidence, can be specified, designed in, predicted, tested and demonstrated. [19]

This section includes the following subsections:

Reliability Engineering and Business Plans

Reliability engineering assessment is based on the results of testing from in-house (or contracted) labs and data pertaining to the performance results of the product in the field. The data produced by these sources are utilized to accurately measure and improve the reliability of the products being produced. This is particularly important as market concerns drive a constant push for cost reduction. However, one must be able to keep a perspective on "the big picture" instead of merely looking for the quick fix. It is often the temptation to cut corners and save initial costs by using cheaper parts or cutting testing programs. Unfortunately, cheaper parts are usually less reliable and inadequate testing programs can allow products with undiscovered flaws to get out into the field. A quick savings in the short term by the use of cheaper components or small test sample sizes will usually result in higher long-term costs in the form of warranty costs or loss of customer confidence. The proper balance must be struck between reliability, customer satisfaction, time to market, sales and features. Figure 2-1 illustrates this concept. The polygon on the left represents a properly balanced project. The polygon on the right represents a project in which reliability and customer satisfaction have been sacrificed for the sake of sales and time to market.



Figure 2-1: Graphical Representation of balanced and unbalanced projects.

Through proper testing and analysis in the in-house testing labs, as well as collection of adequate and meaningful data on a product's performance in the field, the reliability of any product can be measured, tracked and improved, leading to a balanced organization with a financially healthy outlook for the future. (Note: More information on reliability planning and developing a reliability program in the framework of an organization's business goals can be found at http://www.weibull.com/articles/relintro/index.htm.)

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Key Reasons For Reliability Engineering

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Disciplines Covered by Reliability Engineering

Reliability engineering covers all aspects of a product's life, from its conception, subsequent design and production processes, through its practical use lifetime, with maintenance support and availability. Reliability engineering covers:

All three of these areas can be numerically quantified with the use of reliability engineering principles and life data analysis. (The combination of these three areas introduces a new term, as defined in ISO-9000-4, Dependability.)

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A Few Common Sense Applications

The Reliability Bathtub Curve

Most products (as well as humans) exhibit failure characteristics as shown in the bathtub curve of Figure 2-2. (Do note, however, that this figure is somewhat idealized.)


Figure 2-2: An idealized reliability bathtub curve, with the three major life regions: early, useful and wearout.

This curve is plotted with the product life on the x-axis and with the failure rate on the y-axis. The life can be in minutes, hours, years, cycles, actuations or any other quantifiable unit of time or use. The failure rate is given as failures among surviving units per time unit. As can be seen from this plot, many products will begin their lives with a higher failure rate (which can be due to manufacturing defects, poor workmanship, poor quality control of incoming parts, etc.) and exhibit a decreasing failure rate. The failure rate then usually stabilizes to an approximately constant rate in the useful life region, where the failures observed are chance failures. As the products experience more use and wear, the failure rate begins to rise as the population begins to experience failures related to wear-out. In the case of human mortality, the mortality rate (failure rate), is higher during the first year or so of life, then drops to a low constant level during our teens and early adult life and then rises as we progress in years.

Burn-In

Looking at this particular bathtub curve, it should be fairly obvious that it would be best to ship a product at the beginning of the useful life region, rather than right off the production line; thus preventing the customer from experiencing early failures. This practice is what is commonly referred to as burn-in, and is frequently performed for electronic components. The determination of the correct burn-in time requires the use of reliability methodologies, as well as optimization of costs involved (i.e. costs of early failures vs. the cost of burn-in), to determine the optimum failure rate at shipment.

Minimizing the Manufacturer's Cost

Figure 2-3 shows the product reliability on the x-axis and the producer's cost on the y-axis.


Figure 2-3: Total product cost vs. product reliability.

If the producer increases the reliability of his product, he will increase the cost of the design and/or production of the product. However, a low production and design cost does not imply a low overall product cost. The overall product cost should not be calculated as merely the cost of the product when it leaves the shipping dock, but as the total cost of the product through its lifetime. This includes warranty and replacement costs for defective products, costs incurred by loss of customers due to defective products, loss of subsequent sales, etc. By increasing product reliability, one may increase the initial product costs, but decrease the support costs. An optimum minimal total product cost can be determined and implemented by calculating the optimum reliability for such a product. Figure 2-3 depicts such a scenario. The total product cost is the sum of the production and design costs as well as the other post-shipment costs. It can be seen that at an optimum reliability level, the total product cost is at a minimum. The optimum reliability level is the one that coincides with the minimum total cost over the entire lifetime of the product.

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Advantages of a Reliability Engineering Program

The following list presents useful information that can be obtained with the implementation of a sound reliability program:

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Summary: Key Reasons for Implementing a Reliability Engineering Program

See Also:
Reliability Engineering


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