Estimating the Probability of Human Error by Incorporating Component Failure Data from User-Induced Defects in the Development of Complex Electrical Systems

This article proposes a methodology for incorporating electrical component failure data into the human error assessment and reduction technique (HEART) for estimating human error probabilities (HEPs). The existing HEART method contains factors known as error-producing conditions (EPCs) that adjust a generic HEP to a more specific situation being assessed. The selection and proportioning of these EPCs are at the discretion of an assessor, and are therefore subject to the assessor's experience and potential bias. This dependence on expert opinion is prevalent in similar HEP assessment techniques used in numerous industrial areas. The proposed method incorporates factors based on observed trends in electrical component failures to produce a revised HEP that can trigger risk mitigation actions more effectively based on the presence of component categories or other hazardous conditions that have a history of failure due to human error. The data used for the additional factors are a result of an analysis of failures of electronic components experienced during system integration and testing at NASA Goddard Space Flight Center. The analysis includes the determination of root failure mechanisms and trend analysis. The major causes of these defects were attributed to electrostatic damage, electrical overstress, mechanical overstress, or thermal overstress. These factors representing user-induced defects are quantified and incorporated into specific hardware factors based on the system's electrical parts list. This proposed methodology is demonstrated with an example comparing the original HEART method and the proposed modified technique.     

The additional cost of disability: a new measure and its application to sensory impairment

This article introduces a method using consensual budget standards to estimate additional costs incurred by households that include disabled people with specified impairments. The article reports on a first application of this to UK single adults with sensory impairments. Using the Minimum Income Standard method, the research aims to identify the cost of disability by working with groups of disabled people to agree what additions to minimum budgets for non-disabled people are required for someone with a given impairment. This provides a more tangible account of the cost of disability than economic analysis of living standards achieved by disabled and non-disabled people, and adds to surveys of actual spending on additional items, which do not account for unmet need. The research on vision and hearing impairment yields new insights into costs arising from the way disabled people live their everyday lives, not just from spending on adaptations and equipment.     

Conditional interval estimation of the exponential location parameter following rejection of a pre-test

The conditional confidence interval for the location parameter of an exponential distribution following a preliminary test is investigated. The conditional confidence interval (CCI) may be shorter than the unconditional confidence interval (UCI) in contrast to the findings for the mean of a normal distribution by Meeks and D'Agostino (1983). The conditional coverage probability of the UCI is obtained by computing the coverage probability under the conditional probability density function. It is shown that the conditional coverage probability of the UCI is not uniformly greater than or less than the nominal level.     

Relieving the Time Squeeze? Effects of a White‐Collar Workplace Change on Parents

Employed parents perceive a time squeeze even as trends from the 1960s show they are spending more time with their children. Work conditions (e.g., hours and schedule control) would seem to affect both parents' time with children and perceived time squeeze, but most studies rely on cross‐sectional data that do not establish causality. The authors examined the effects of the introduction of a workplace flexibility initiative (Results Only Work Environment [ROWE]) on changes in mothers' and fathers' perceptions of the adequacy of their time with children and actual time spent with children (N = 225). Baseline data show the importance of work conditions for parents' sense of perceived time adequacy. Panel data show that mothers (but not fathers) in ROWE report increased schedule control and improved time adequacy, but no change in actual time spent with children, except that ROWE increases evening meals with children for mothers sharing few meals at baseline.