### Abstract

Timetabling problem needs to be well defined and efficiently handled in order for any type of institution or organization to be well organized and systematic. Developing an effective timetable is a tedious task, especially when it involves a large organization. Mathematical programming is often used in solving the timetabling problem. The purpose of this research is to adapt a model for Malaysian universities course timetabling. In general, we aim to determine the flexibility and compatibility of the model towards generating a timetable for Malaysian universities. The adapted model is applied to a selected university in Malaysia where the constraints are modified according to the university regulations and demands. It is then tested using LINGO and is found to be effective and fulfil the requirements of the university. The timetable fulfils the various requirements made by lecturers and the facilities provided. An effective timetable is generated where the different courses, groups of students and lecturers are well scheduled.

Original language | English |
---|---|

Pages (from-to) | 110-122 |

Number of pages | 13 |

Journal | International Journal of Applied Mathematics and Statistics |

Volume | 37 |

Issue number | 7 |

Publication status | Published - 2013 |

### Fingerprint

### Keywords

- Mathematical programming
- Timetabling problem
- University course timetabling problem

### ASJC Scopus subject areas

- Applied Mathematics

### Cite this

*International Journal of Applied Mathematics and Statistics*,

*37*(7), 110-122.

**Mathematical Modelling of University Timetabling : A mathematical programming approach.** / Aizam, Nur A H; Liong, Choong Yeun.

Research output: Contribution to journal › Article

*International Journal of Applied Mathematics and Statistics*, vol. 37, no. 7, pp. 110-122.

}

TY - JOUR

T1 - Mathematical Modelling of University Timetabling

T2 - A mathematical programming approach

AU - Aizam, Nur A H

AU - Liong, Choong Yeun

PY - 2013

Y1 - 2013

N2 - Timetabling problem needs to be well defined and efficiently handled in order for any type of institution or organization to be well organized and systematic. Developing an effective timetable is a tedious task, especially when it involves a large organization. Mathematical programming is often used in solving the timetabling problem. The purpose of this research is to adapt a model for Malaysian universities course timetabling. In general, we aim to determine the flexibility and compatibility of the model towards generating a timetable for Malaysian universities. The adapted model is applied to a selected university in Malaysia where the constraints are modified according to the university regulations and demands. It is then tested using LINGO and is found to be effective and fulfil the requirements of the university. The timetable fulfils the various requirements made by lecturers and the facilities provided. An effective timetable is generated where the different courses, groups of students and lecturers are well scheduled.

AB - Timetabling problem needs to be well defined and efficiently handled in order for any type of institution or organization to be well organized and systematic. Developing an effective timetable is a tedious task, especially when it involves a large organization. Mathematical programming is often used in solving the timetabling problem. The purpose of this research is to adapt a model for Malaysian universities course timetabling. In general, we aim to determine the flexibility and compatibility of the model towards generating a timetable for Malaysian universities. The adapted model is applied to a selected university in Malaysia where the constraints are modified according to the university regulations and demands. It is then tested using LINGO and is found to be effective and fulfil the requirements of the university. The timetable fulfils the various requirements made by lecturers and the facilities provided. An effective timetable is generated where the different courses, groups of students and lecturers are well scheduled.

KW - Mathematical programming

KW - Timetabling problem

KW - University course timetabling problem

UR - http://www.scopus.com/inward/record.url?scp=84873454633&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84873454633&partnerID=8YFLogxK

M3 - Article

VL - 37

SP - 110

EP - 122

JO - International Journal of Applied Mathematics and Statistics

JF - International Journal of Applied Mathematics and Statistics

SN - 0973-1377

IS - 7

ER -