Optimizing the preference of student-lecturer allocation problem using analytical hierarchy process and integer programming
This paper focuses on solving a student-lecturer allocation problem by optimizing declared preferences. Typically, many students undertake an internship program every semester and many preferences need to be taken when assigning students to lecturer for supervision. The aim is to maximize student’s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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School of Engineering, Taylor’s University College
2020
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/26872/1/JEST%2015%201%202020%20261%20275.pdf |
| _version_ | 1803629206603563008 |
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| author | Faudzi, S. Abd Rahman, Rosshairy Rahman, R. A. Zulkepli, J. Bargiela, A. |
| author_facet | Faudzi, S. Abd Rahman, Rosshairy Rahman, R. A. Zulkepli, J. Bargiela, A. |
| author_sort | Faudzi, S. |
| collection | UUM |
| description | This paper focuses on solving a student-lecturer allocation problem by optimizing declared preferences. Typically, many students undertake an internship program every semester and many preferences need to be taken when assigning students to lecturer for supervision. The aim is to maximize student’s total preference. Analytic Hierarchy Process (AHP) technique is used in ranking the preference criteria and alternatives to form a preference matrix. Then, an Integer
Programming (IP) model is developed by considering related constraints, which involves lecturer capacity according to academic position and matching gender of student to lecturer. This study demonstrates the effectiveness of using AHP technique in prioritizing preference criteria and facilitates finding the best solutions in the context of multiple criteria by using preference matrix. The IP model shows that all constraints are satisfied, and students’ total preferences is
maximized. The study demonstrates that the proposed method is efficient and avoids biased assignment. The satisfaction of the gender related constraint and preferences toward lecturers contributes significantly to satisfaction among
students and staff. |
| first_indexed | 2024-07-04T06:34:10Z |
| format | Article |
| id | uum-26872 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T06:34:10Z |
| publishDate | 2020 |
| publisher | School of Engineering, Taylor’s University College |
| record_format | dspace |
| spelling | uum-268722020-03-01T02:02:47Z https://repo.uum.edu.my/id/eprint/26872/ Optimizing the preference of student-lecturer allocation problem using analytical hierarchy process and integer programming Faudzi, S. Abd Rahman, Rosshairy Rahman, R. A. Zulkepli, J. Bargiela, A. QA75 Electronic computers. Computer science This paper focuses on solving a student-lecturer allocation problem by optimizing declared preferences. Typically, many students undertake an internship program every semester and many preferences need to be taken when assigning students to lecturer for supervision. The aim is to maximize student’s total preference. Analytic Hierarchy Process (AHP) technique is used in ranking the preference criteria and alternatives to form a preference matrix. Then, an Integer Programming (IP) model is developed by considering related constraints, which involves lecturer capacity according to academic position and matching gender of student to lecturer. This study demonstrates the effectiveness of using AHP technique in prioritizing preference criteria and facilitates finding the best solutions in the context of multiple criteria by using preference matrix. The IP model shows that all constraints are satisfied, and students’ total preferences is maximized. The study demonstrates that the proposed method is efficient and avoids biased assignment. The satisfaction of the gender related constraint and preferences toward lecturers contributes significantly to satisfaction among students and staff. School of Engineering, Taylor’s University College 2020 Article PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/26872/1/JEST%2015%201%202020%20261%20275.pdf Faudzi, S. and Abd Rahman, Rosshairy and Rahman, R. A. and Zulkepli, J. and Bargiela, A. (2020) Optimizing the preference of student-lecturer allocation problem using analytical hierarchy process and integer programming. Journal of Engineering Science and Technology, 15 (1). pp. 261-275. ISSN 1823-4690 http://jestec.taylors.edu.my/V15Issue1.htm |
| spellingShingle | QA75 Electronic computers. Computer science Faudzi, S. Abd Rahman, Rosshairy Rahman, R. A. Zulkepli, J. Bargiela, A. Optimizing the preference of student-lecturer allocation problem using analytical hierarchy process and integer programming |
| title | Optimizing the preference of student-lecturer allocation problem using analytical hierarchy process and integer programming |
| title_full | Optimizing the preference of student-lecturer allocation problem using analytical hierarchy process and integer programming |
| title_fullStr | Optimizing the preference of student-lecturer allocation problem using analytical hierarchy process and integer programming |
| title_full_unstemmed | Optimizing the preference of student-lecturer allocation problem using analytical hierarchy process and integer programming |
| title_short | Optimizing the preference of student-lecturer allocation problem using analytical hierarchy process and integer programming |
| title_sort | optimizing the preference of student lecturer allocation problem using analytical hierarchy process and integer programming |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/26872/1/JEST%2015%201%202020%20261%20275.pdf |
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