An Automated System For Subject Allocation Among Faculty in Academic Institutions

It is inferred that, in many academic institutions, the faculties have to work overtime. This is due to the increased demands and tasks placed on them in addition to academic labor reducing their valuable time. This results in work dissatisfaction and indignation among faculties. In order to increase satisfaction and better manage workloads, a number of colleges and academic institutions have used workload allocation models. From the list of subjects, the faculties provide the preferences of the choice of subjects. Each faculty must be allocated with fixed n umber of subjects. The allocation must happen in such a way that no faculty member remains unallocated and no subject remains without a faculty, given that each faculty member provides more than three preferences for a subject and more than two preferences for lab. At present, academic institutions follow a manual method of subject allocation to faculties. This work presents an optimal distribution of subjects to the faculties, considering the above-mentioned constraints in an automated and efficient manner.