2025 ASEE Annual Conference & Exposition

Improvement of Course Scheduling Using Lean Six Sigma

Presented at Engineering Technology Division (ETD) Technical Session 4

In this paper, a Lean Six Sigma project aimed at improving the course scheduling process in a large engineering department at Texas A&M University is presented. The current scheduling process faces numerous challenges, including inadequate enrollment capacity, a lack of documentation, and inefficiencies that frustrate students and faculty members alike. By applying the DMAIC (Define, Measure, Analyze, Improve, Control) methodology, this project identifies critical areas for improvement and proposes a new streamlined scheduling process. Key outcomes include reducing classroom overcapacity and ensuring equitable access to courses. This case study demonstrates how Lean Six Sigma tools can address systemic issues in academic operations, benefiting students, faculty, and administrators.

Authors
  1. Dr. Angie Hill Price Texas A&M University [biography]
Download paper (1.65 MB)