University course timetabling is a well-known management problem amongst researchers, thus the rich body of literature. However, published articles are mainly on improved solution approaches leads to presentation on different constraints used and ignoring human preferences. This however, limits the model application to other universities. The research aims to bridge the gap by acknowledging these varieties of demands. In the process of generating our mathematical model, we have gone through meticulously researches that have been carried out in the past years to determine the demands of individuals involved directly with the timetable. The varieties of demands were clarified from a survey conducted. An improvised UCTP model was developed, which involves a superset of constraints that also includes the users’ preferences. However, we will extensively discuss on the list of requirements obtained from the survey and demonstrate the requirements that were found acceptable to be considered in a general mathematical model. To verify the compatibility of our mathematical model, we illustrate with real data from a university in Malaysia. The experimental result confirms the applicability of our mathematical model towards real problem. We expect that this model could be in favor of solving other university course timetabling problem with slight modifications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.