Digital Commons Network^™

The Effects Of Risk Management Program Implementation On Worker Safety Knowledge, John C. Donnelly

Community & Environmental Health Theses & Dissertations

This study examined the effect of the implementation of a risk management program tool on worker safety knowledge in a composite building material fabrication facility whose workers suffered from an increasingly high injury (incidence) rate in recent years. Risk assessment codes (RACs) and job safety analyses (JSAs) were the primary tools used to introduce workers to the concept of risk. Because employee involvement is a crucial element in JSA development. employee input was frequently solicited throughout JSA development.

The study instrument consisted of a pre-test and post-test survey, to which an experimental and control group were subjected. The instrument was …

Understanding Collaborative Writing Of Technical Proposals With A Process/Product Model, Frank Joseph Greco

Engineering Management & Systems Engineering Theses & Dissertations

Group work creates concerns with respect to performance, collaboration, and conflict management. Writing technical proposals creates appropriate settings for gaining insight into work group efficiencies and project conflict. The research involved different work groups preparing responses to Federal Government solicitations. A proposed Process/Product model was applied to create a new framework and perception of the technical proposal development effort. There exists a rich dialectic between the forces of Process, (how the effort is accomplished), and, Product, (what the effort will produce.) The investigation attempted to learn if the P/P model provides explanations for project conflict during technical collaborative writing.

The …

Comparing Traditional Statistical Models With Neural Network Models: The Case Of The Relation Of Human Performance Factors To The Outcomes Of Military Combat, William Oliver Hedgepeth

Engineering Management & Systems Engineering Theses & Dissertations

Statistics and neural networks are analytical methods used to learn about observed experience. Both the statistician and neural network researcher develop and analyze data sets, draw relevant conclusions, and validate the conclusions. They also share in the challenge of creating accurate predictions of future events with noisy data.

Both analytical methods are investigated. This is accomplished by examining the veridicality of both with real system data. The real system used in this project is a database of 400 years of historical military combat. The relationships among the variables represented in this database are recognized as being hypercomplex and nonlinear.

The …