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Operations Research, Systems Engineering and Industrial Engineering Commons

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2000

FIU Electronic Theses and Dissertations

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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

A Simulation-Based Heuristic For Fleet Assignment, Sonia Rosario Anorga Dec 2000

A Simulation-Based Heuristic For Fleet Assignment, Sonia Rosario Anorga

FIU Electronic Theses and Dissertations

Integer programming, simulation, and rules of thumb have been integrated to develop a simulation-based heuristic for short-term assignment of fleet in the car rental industry. It generates a plan for car movements, and a set of booking limits to produce high revenue for a given planning horizon.

Three different scenarios were used to validate the heuristic. The heuristic's mean revenue was significant higher than the historical ones, in all three scenarios. Time to run the heuristic for each experiment was within the time limits of three hours set for the decision making process even though it is not fully automated. …


Predicting Employee Compliance With Safety Regulations, Factoring Risk Perception, Yenny Farinas Diaz Nov 2000

Predicting Employee Compliance With Safety Regulations, Factoring Risk Perception, Yenny Farinas Diaz

FIU Electronic Theses and Dissertations

The purpose of this research was to develop a methodology that would evaluate employees’ personality traits, demographic characteristics, and workplace parameters to predict safety compliance along with the moderating effect of risk perception.

One hundred and twenty five employees of a manufacturing facility were given questionnaires to gather their demographic and perception information. Surveys were also used to measure their personality characteristics, and periodic observations were recorded to document employee’s safety compliance. A significant correlation was found between compliance and the worker's perception of management's commitment to safety (r = 0.27, p < 0.01), as well as with gender (r = -0.19, p < 0.05). Females showed a significantly higher average compliance (78%), than males (69%). These findings demonstrated the value of developing a model to predict safety behavior that would assist companies In maintaining a safe work environment, preventing accidents, ensuring compliance, and reducing associated costs.