Degree Type
Dissertation
Date of Award
2006
Degree Name
Doctor of Philosophy
Department
Industrial and Manufacturing Systems Engineering
First Advisor
John K. Jackman
Second Advisor
Sigurdur Olafsson
Abstract
The Panama Canal can be modeled as a stochastic flexible flow shop for the purpose of scheduling. A metaheuristic stochastic optimization method (Nested Partition) was used to determine if current scheduling practices could be improved by reducing the makespan for vessel traffic. Results indicate that classifying the vessels according to the time that they spend transiting the canal and using some rules and metaheuristic technique for parallel flow shop improves the makespan. The schedules produced by this method show distinct patterns as described by the sequence of vessel types.
DOI
https://doi.org/10.31274/rtd-180813-15339
Publisher
Digital Repository @ Iowa State University, http://lib.dr.iastate.edu
Copyright Owner
Zoila Yadira Guerra de Castillo
Copyright Date
2006
Language
en
Proquest ID
AAI3229079
File Format
application/pdf
File Size
114 pages
Recommended Citation
de Castillo, Zoila Yadira Guerra, "Stochastic flow shop scheduling model for the Panama Canal " (2006). Retrospective Theses and Dissertations. 1518.
https://lib.dr.iastate.edu/rtd/1518