Date of Graduation

5-2022

Document Type

Thesis

Degree Name

Bachelor of Science in Industrial Engineering

Degree Level

Undergraduate

Department

Industrial Engineering

Advisor/Mentor

Sullivan, Kelly

Committee Member/Reader

Rainwater, Chase

Committee Member/Second Reader

Cassady, Richard

Abstract

More than ever, a college education is necessary to remain competitive in the job market. Therefore, colleges are dedicating numerous resources to ensure student success. Nonetheless, one of the most important factors of student success is proper academic advising. Students at the University of Arkansas and more specifically within the department of Industrial Engineering department are fortunate to have access to fantastic advising. However, given the volume of students, academic advisors do not have the time to talk through the nuance of every student’s long-term academic plan. The department does provide an eight-semester plan; however, students who have deviated from the plan are left to try and understand course offerings, requisites, and subjective difficulties to develop their own long-term plan.

This research details the development and implementation of a decision support tool to aid University of Arkansas Industrial Engineering (IE) students in their long-term academic planning. Specifically, the Mixed Integer Linear Program of the IE curriculum is defined, the desktop application is described, and two common use cases are analyzed. Results showed that the decision support tool may provide future students with tremendous value in their discussion with their academic advisors about long-term plans.

Keywords

Operations Research, Optimization, Course Planning

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