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Approved for public release; distribution is unlimited. / We model the minimum-cost procurement and allocation of anti-ship cruise missiles to naval combat ships as a two-period stochastic integer program. Discrete scenarios in two periods define "demands" for missiles (i.e., targets and number of missiles required to kill those targets), which must be met with sufficiently high probabilities. After the former combat period, ships may replenish their inventories from a depot if desired and if the available depot inventory suffices. A force commander optimizes ship-to-target assignments to meet demands. The basic model solves slowly, so we add constraints to enforce reasonable operational directives, and add valid inequalities. These improvements reduce the solution time by 95% for the test case. Instances with up to six ships and five scenarios in each period then solve in less than one hour on a 2 GHz personal computer. / Lieutenant Commander, Israel Navy

M.A. / Violence being a prominent and invasive factor in South Africa has left many people feeling powerless, hopeless and incapable of dealing and coping with the effects that exposure to trauma has produced. This idea appears even more disturbing if one considers that military personnel will inevitably be exposed to some form of trauma in their employment history. As a result of this traumatic exposure, many people develop post traumatic stress disorder or symptoms thereof. The literature ind icates that certain variables may increase vulnerability for the development of this disorder. The purpose of this research was to evaluate whether or not there is a relationship between Post Traumatic Stress (PTS) symptoms and axis II personality traits using Millon’s Clinical Multiaxial Inventory (MCMI - III) as a measure. The results of which will have major implications for our understanding of PTS, as well as aid in the deployment of military personnel. The sample comprised 5853 military personnel who completed the MCMI III as part of a yearly project to determine their mental health status. Inferential and descriptive statistical analyses were used on the data. It was found, in accordance with previous literature findings, that narcissistic, antisocial and borderline personality styles are the best predictors of PTS. In addition, the study found that there is a significant relationship between PTS and various personality styles, namely depressive, schizotypal, borderline, passive -aggressive, compulsive, antisocial and narcissistic personality styles. It is recommended that if the MCMI-III is used to scan military personnel prior to combat, those with high scores on borderline, narcissistic and antisocial personality scales, should be subjected to a more in-depth evaluation.

An attempt was made to further establish the validity of the Polyfactor Test of Marital Difficulties, a relatively new, yet potentially valuable sentence completion, self-rating marital difficulties test. . Another test, the Marital Adjustment Inventory was also used for comparison purposes.

The purpose of this study was to determine if there were significant differences between Black and white students on the Minnesota Multiphasic Personality Inventory in an integrated university, and to determine if these differences are consistent with findings in past research. In this study, socio-economic status, which has been suspected as the cause for racial variability, was statistically controlled.

To prevent loss of lives during seasonal disasters, relief agencies distribute critical supplies and provide lifesaving services to the affected populations. Despite agencies' efforts, frequently occuring disasters increase the cost of relief operations. The purpose of our study is to minimize the cost of relief operations, considering that such disasters cause random demand. To achieve this, we have formulated a series of models, which are distinct from the current studies in three ways. First, to the best of our knowledge, we are the first ones to capture both perishable and durable products together. Second, we have aggregated multiple products in a different way than current studies do. This unique aggregation requires less data than that of other types of aggregation. Finally, our models are compatible with the practical data generated by FEMA. Our models offer insights on the impacts of various parameters on optimum cost and order size. The analyses of correlation of demand and quality of information offer interesting insights; for instance, under certain cases, the quality of information does not influence cost. Our study has considered both risk averse and risk neutral approaches and provided insights. The insights obtained from our models are expected to help agencies reduce the cost of operations by choosing cost effective suppliers.

The problem with which this investigation is concerned is whether relationships may exist between personality and type of offense in a felon population. The Eysenck Personality Inventory, which measures extraversion-introversion (E), neuroticism-stability (N), and includes a lie scale (L), was used to determine subject's personality traits. Offenses were divided into crimes against persons, crimes against property, and crimes against the morals of the state. Subjects consisted of 751 adult male felons. The product-moment correlation was computed for each offense-variable EPI pair. A negative association between E and crimes against persons, together with a positive association between L and crimes against persons, were found to be statistically significant at the 0.05 level, although quite low. It was concluded that results obtained should be guardedly interpreted in view of the minimal amount of variability accounted for, though of possible value in suggesting future research.

The study is an attempt to measure psychopathic tendencies in the girl who becomes pregnant out of wedlock compared with the average non-pregnant college co-ed. This characteristic, when evidenced in a subject's personality, may be reflected in a High T score on the Pd scale of the 1MPI.

The study examined the effects of positive verbal reinforcement on intrinsic motivation by determining differential effects over four multidimensions of Ryan's Intrinsic Motivation Inventory (IMI). Subjects (N=60) were 30 male and 30 female college students. The subjects were blocked by gender and randomly assigned to a positive verbal reinforcement group or a control group. The subjects received 10 trials on the stabilometer. The results of the study indicated that there were significant group differences for composite intrinsic motivation and for perceived competence; however, there were no significant gender differences found. Furthermore, no group differences were reported for the underlying factors of interest/enjoyment, effort, or pressure/tension.

Master of Science / Department of Industrial & Manufacturing Systems Engineering / John English / This research builds upon previous efforts to explore the use of Statistical Process Control (SPC) in lieu of cycle counting. Specifically a three pronged effort is developed. First, in the work of Huschka (2009) and Miller (2008), a mixture distribution is proposed to model the complexities of multiple Stock Keeping Units (SKU) within an operating department. We have gained access to data set from a large retailer and have analyzed the data in an effort to validate the core models. Secondly, we develop a recursive relationship that enables large samples of SKUs to be evaluated with appropriately with the SPC approach. Finally, we present a comprehensive set of type I and type II error rates for the SPC approach to inventory accuracy monitoring.