Multi-objective university rescheduling problem by fuzzy programming technique

This study presents multi-objective university rescheduling assignment problem (MOURAP), when some faculty members have been left the institute due to unavoidable circumstances, i.e., disruptions. This presented model executed in two phases. The first phase discusses and formulates the university course rescheduling problem and allocates unassigned courses to available faculty members based on the preferences for course of the faculty members, administrators and the indirect students preferences computed on faculty feedback and student result analysis. In the second phase, faculty members and courses are assigned to time in pairs, based on the faculty member's preferences. The prime aim of rescheduling is to minimise the course allocation change from former and latter to faculty members and time slots allocations change from initial and new schedule to faculty members and students. To test the strength of the presented model, this study demonstrated the model with two numerical examples on hypothetical data. With hypothetical numerical data, the model has been executed and has generated a new schedule by fuzzy programming technique with linear and exponential membership functions. This technique always produced non-dominated/compromise solutions. Results are obtained using LINGO19.0 software. [Received: 14 January 2022; Accepted: 9 July 2023]