An undergraduate uses OR to improve Final Exam Schedules at her university

Authors

  • Danielle Sienko Department of Mathematics Kutztown University
  • Paul Ache III Department of Mathematics Kutztown University
  • Yun Lu Department of Mathematics Kutztown University
  • Francis Joseph Vasko Department of Mathematics Kutztown University
  • Ted Witryk Registrar Kutztown University

DOI:

https://doi.org/10.21100/msor.v15i1.349

Keywords:

Final examination scheduling, operational research applications, balanced bin packing algorithm, undergraduate student projects.

Abstract

Final examination scheduling is typically a complex problem that impacts students, faculty, and administrators at every university.  In this paper, we describe how an undergraduate student, for her senior project at Kutztown University, analysed the final exam schedules at Kutztown University to see if she could improve them.  Specifically, she wanted to see if she could reduce student conflicts defined to be a student having three exams scheduled on the same day.  The approach that she developed, based on a balanced bin packing algorithm, was very appealing because it could be implemented manually by a staff member of the Registrar’s office, requiring at most 30 minutes to generate the schedule.  Testing this approach using actual data from the Fall 2015 semester resulted in a 42% reduction in student conflicts.  This approach, because of its simplicity and intuitive appeal, was widely accepted by the Kutztown University faculty and administrators and is being implemented for the Fall 2016 semester.

Author Biographies

Danielle Sienko, Department of Mathematics Kutztown University

Ms. Danielle Sienko is May 2016 graduate of kutztown University with a BS degree in Mathematics. More complete bio will be sent if paper is accepted.

Paul Ache III, Department of Mathematics Kutztown University

Dr. Paul Ache is Professor and Chair of the Deaprtment of Mathematics at Kutztown University.  His primary research interet is mathematics education.More complete bio will be sent if paper is accepted. 

Yun Lu, Department of Mathematics Kutztown University

Yun Lu received the M.A. degree in computer science and the Ph.D. degree in mathematics from Wesleyan University in 2006 and 2007, respectively. She is currently an associate professor in the Department of Mathematics at Kutztown University. Her research interests include optimization, algorithms, mathematical logic, graph theory, and bioinformatics.

Francis Joseph Vasko, Department of Mathematics Kutztown University

Francis J. Vasko is a Professor of Mathematics at Kutztown University of Pennsylvania.  Before coming toKutztownUniversityin September 1986, he worked for more than eight years as an employee in the Research Department at Bethlehem Steel solving a variety of real-world applications in operations research.  He then served as a consultant to Bethlehem Steel Corporation from September 1986 thru March 2003. Since 2003, he has also done consulting work for Graphic Packaging, Enterprise Systems Partners, Inc., and Solo Laboratories Inc.  His current research focuses on using a large variety and combination of solution techniques (both math-optimization based and metaheuristics)  in order to more accurately model and solve important real-world applications in production planning, strategic planning, and resource allocation. 

Ted Witryk, Registrar Kutztown University

Registrar at Kutztown University. More complete bio will be sent if paper is accepted.

References

Akbulut A. and Yilmaz, G., 2013. University Exam Scheduling System Using Graph Colouring Algorithm and RFID Technology. International Journal of Innovation, Management and Technology, 4(1), pp.66-72.

Mohmad Kahar, M.N. and Kendall, G., 2015. A great deluge algorithm for a real-world examination timetabling problem. Journal of the Operational Research Society, 66(1), pp 116-133.

Zhaohui, F. and Lim, A., 2000. Heuristics for the Exam Scheduling Problem. Proceedings 12th IEEE International Conference On Tools with Artificial Intelligence. pp.172-175.

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Published

2016-09-05