Allocation of students into academic programs using mathematical programming

Nasruddin Hassan

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

A mathematical programming model is built to optimize the allocation of students into academic programs of a department. The mathematical programming model takes into account the limits of space capacity, financial allocation, the number of instructors and affirmative action quotas as goal constraints that are required to be fulfilled. Each constraint has a priority level and a weight attached. This goal programming model is then applied to the School of Mathematical Sciences, Universiti Kebangsaan Malaysia. The results of the preemptive goal programming model are then compared to that of the weighted non-preemptive goal programming model and current allocation using the weighted mean absolute percentage error. The successful application demonstrates the ability of the mathematical programming model to comply with the student intake requirement and goal constraints of the academic programs.

Original languageEnglish
Pages (from-to)77-81
Number of pages5
JournalInternational Journal of Mathematics and Computers in Simulation
Volume10
Publication statusPublished - 2016

Fingerprint

Mathematical programming
Mathematical Programming
Programming Model
Students
Goal Programming
Mathematical Model
Weighted Mean
Malaysia
Percentage
Optimise
Requirements
Demonstrate

Keywords

  • Affirmative
  • Constraints
  • Priority
  • Weighted mean

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Modelling and Simulation
  • Applied Mathematics

Cite this

Allocation of students into academic programs using mathematical programming. / Hassan, Nasruddin.

In: International Journal of Mathematics and Computers in Simulation, Vol. 10, 2016, p. 77-81.

Research output: Contribution to journalArticle

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