Date of Award
11-28-2016
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Systems Engineering
First Advisor
Ibrahim Nisanci
Abstract
In this study a powder painting production line was examined for the purpose of improving on its scheduling. A simulation model was developed to compare the performance of alternative scheduling rules. The simulation model utilized scheduling data from the original system in order to determine how accurately it represented the original system. The model was built using the discrete event simulation software Arena. The validated model was used to test a set of scheduling rules that would change the sequence in which orders in the queue were processed. By looking at the different rules and the effects on the final output of the production line, it was shown that the system could be accurately modeled and that the different scheduling rules could be applied to the line. Some techniques yielded overall schedule improvements, while others were inconclusive or detrimental. Furthermore, the model developed would be used as scheduling tool to process future production requirements.
Recommended Citation
White, Bryan Allan, "Evaluating Alternative Scheduling Rules to Improve Scheduling Performance" (2016). Theses and Dissertations. 713.
https://research.ualr.edu/etd/713
