Reliability of a “one-shot” device.A “one-shot” device can be used only once; after use, the device (e.g., a nuclear weapon, space shuttle, automobile air bag) is either destroyed or must be rebuilt. The destructive nature of a one-shot device makes repeated testing either impractical or too costly. Hence, the reliability of such a device must be determined with minimal testing. Consider a one-shot device that has some probability,p,of failure. Of course, the true value ofpis unknown, so designers will specify a value ofpthat is the largest defective rate they are willing to accept. Designers will conductntests of the device and determine the success or failure of each test. If the number of observed failures,x,is less than or equal to some specified value,K,then the device is considered to have the desired failure rate. Consequently, the designers want to know the minimum sample sizenneeded so that observingKor fewer defectives in the sample will demonstrate that the true probability of failure for the one-shot device is no greater thanp.
a.Suppose the desired failure rate for a one-shot device is P= .10 . Also, suppose designers will conduct n=20 tests of the device and conclude that the device is performing to specifications if K=1 (i.e., if 1 or no failures are observed in the sample). Find P(x
b.In reliability analysis 1-P(xlevel of confidencefor concluding that the true failure rate is less than or equal top. Find the level of confidence for the one-shot device described in part
a.In your opinion, is this an acceptable level? Explain.
c.Demonstrate that the confidence level can be increased by either (1) increasing the sample sizenor (2) decreasing the numberKof failures allowed in the sample.
d.Typically, designers want a confidence level of .90, .95, or .99. Find the values ofnandKto use so that the designers can conclude (with at least 95% confidence) that the failure rate for the one-shot device of partais no greater than p = .10
Note:The U.S. Department of Defense Reliability Analysis Center (DoD RAC) provides designers with free access to tables and toolboxes that give the minimum sample sizenrequired to obtain a desired confidence level for a specified number of observed failures in the sample.