An optimum of the assignment problem in choosing internship companies among STML students

In this research, a mathematical model programming using an AMPL (A Mathematical Programming Language) software is presented to help the administrators with the assigning process. The goal of the optimization model is to ensure equality among students while at the same time trying to grant their wis...

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Main Authors: Mat Isa, Siti Mariam, Abdul Rahim, Mohd Kamarul Irwan
Format: Article
Language:English
Published: Universiti Utara Malaysia 2020
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Online Access:http://repo.uum.edu.my/28409/1/STMLGG%2001%2009%202020%2030-33.pdf
http://repo.uum.edu.my/28409/
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spelling my.uum.repo.284092021-11-16T06:40:47Z http://repo.uum.edu.my/28409/ An optimum of the assignment problem in choosing internship companies among STML students Mat Isa, Siti Mariam Abdul Rahim, Mohd Kamarul Irwan HD28 Management. Industrial Management In this research, a mathematical model programming using an AMPL (A Mathematical Programming Language) software is presented to help the administrators with the assigning process. The goal of the optimization model is to ensure equality among students while at the same time trying to grant their wishes to do their internship at companies they preferred. An unfair division of companies can cause frustration among students. Therefore, it is important that the preferences of the students are met in the best way possible. The results show that mathematical programming model can be used to assign students to companies for internship based on their preferences. Universiti Utara Malaysia 2020 Article NonPeerReviewed application/pdf en http://repo.uum.edu.my/28409/1/STMLGG%2001%2009%202020%2030-33.pdf Mat Isa, Siti Mariam and Abdul Rahim, Mohd Kamarul Irwan (2020) An optimum of the assignment problem in choosing internship companies among STML students. Symposium on Technology Management and Logistics (STML Go Green) 2019: Operations Management, Volume 1, 1 (9). pp. 30-33. ISSN eISBN 978-967-2296-23-4
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutional Repository
url_provider http://repo.uum.edu.my/
language English
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Mat Isa, Siti Mariam
Abdul Rahim, Mohd Kamarul Irwan
An optimum of the assignment problem in choosing internship companies among STML students
description In this research, a mathematical model programming using an AMPL (A Mathematical Programming Language) software is presented to help the administrators with the assigning process. The goal of the optimization model is to ensure equality among students while at the same time trying to grant their wishes to do their internship at companies they preferred. An unfair division of companies can cause frustration among students. Therefore, it is important that the preferences of the students are met in the best way possible. The results show that mathematical programming model can be used to assign students to companies for internship based on their preferences.
format Article
author Mat Isa, Siti Mariam
Abdul Rahim, Mohd Kamarul Irwan
author_facet Mat Isa, Siti Mariam
Abdul Rahim, Mohd Kamarul Irwan
author_sort Mat Isa, Siti Mariam
title An optimum of the assignment problem in choosing internship companies among STML students
title_short An optimum of the assignment problem in choosing internship companies among STML students
title_full An optimum of the assignment problem in choosing internship companies among STML students
title_fullStr An optimum of the assignment problem in choosing internship companies among STML students
title_full_unstemmed An optimum of the assignment problem in choosing internship companies among STML students
title_sort optimum of the assignment problem in choosing internship companies among stml students
publisher Universiti Utara Malaysia
publishDate 2020
url http://repo.uum.edu.my/28409/1/STMLGG%2001%2009%202020%2030-33.pdf
http://repo.uum.edu.my/28409/
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score 13.18916