Date of Graduation
5-2018
Document Type
Thesis
Degree Name
Bachelor of Science in Industrial Engineering
Degree Level
Undergraduate
Department
Industrial Engineering
Advisor/Mentor
Chimka, Justin
Committee Member/Reader
Liao, Haitao
Abstract
The inland waterway system in the United States allows for the transportation of commodities, and interruptions to the system can have remarkable economic consequences. This research estimates statistical models of commodity flow as a function of lock usage and lock unavailability to discover relationships between system disruption and economic penalties. Findings specifically complement a portfolio of research conducted by the Maritime Transportation Research & Education Center (MarTREC) for the United States Army Corps of Engineers (USACE) to aid in decision making and resource planning for lock maintenance.
Citation
McGee, G. (2018). Modeling Commodity Flow as a Statistical Function of Lock Unavailability and Usage. Industrial Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/ineguht/54
