Optimization of employee scheduling using linear programming model / Nur Hidayah Fakhrurrazi & Nurzawiyah Noorzaimi
Every company want to minimize the number of their employee in order to reduce the cost while maintaining their production. This can be done by rearranging the employees’ shifts in the current schedule. There are many ways to optimize schedule in business operation. One of the best way to be use is...
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my.uitm.ir.397932020-12-27T05:48:29Z http://ir.uitm.edu.my/id/eprint/39793/ Optimization of employee scheduling using linear programming model / Nur Hidayah Fakhrurrazi & Nurzawiyah Noorzaimi Fakhrurrazi, Nur Hidayah Noorzaimi, Nurzawiyah Mathematical statistics. Probabilities Analytical methods used in the solution of physical problems Programming. Rule-based programming. Backtrack programming Every company want to minimize the number of their employee in order to reduce the cost while maintaining their production. This can be done by rearranging the employees’ shifts in the current schedule. There are many ways to optimize schedule in business operation. One of the best way to be use is the linear programming (LP) method which is easier to apply in minimizing the number of employees needed by the company. An LP model will be set up based on the minimum workers number needed in a shift and there are two types of shift discussed which are daily shift and time shift. Other than that, LP is also used to achieve the target cost when minimizing the company’s employee. The LP models are solved by using Maple and Lingo software where the minimum number of employees needed will be sorted out according to the starting day of their shift. 2019-07 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/39793/1/39793.pdf Fakhrurrazi, Nur Hidayah and Noorzaimi, Nurzawiyah (2019) Optimization of employee scheduling using linear programming model / Nur Hidayah Fakhrurrazi & Nurzawiyah Noorzaimi. Degree thesis, Universiti Teknologi MARA. |
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Mathematical statistics. Probabilities Analytical methods used in the solution of physical problems Programming. Rule-based programming. Backtrack programming Fakhrurrazi, Nur Hidayah Noorzaimi, Nurzawiyah Optimization of employee scheduling using linear programming model / Nur Hidayah Fakhrurrazi & Nurzawiyah Noorzaimi |
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Every company want to minimize the number of their employee in order to reduce the cost while maintaining their production. This can be done by rearranging the employees’ shifts in the current schedule. There are many ways to optimize schedule in business operation. One of the best way to be use is the linear programming (LP) method which is easier to apply in minimizing the number of employees needed by the company. An LP model will be set up based on the minimum workers number needed in a shift and there are two types of shift discussed which are daily shift and time shift. Other than that, LP is also used to achieve the target cost when minimizing the company’s employee. The LP models are solved by using Maple and Lingo software where the minimum number of employees needed will be sorted out according to the starting day of their shift. |
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Thesis |
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Fakhrurrazi, Nur Hidayah Noorzaimi, Nurzawiyah |
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Fakhrurrazi, Nur Hidayah Noorzaimi, Nurzawiyah |
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Fakhrurrazi, Nur Hidayah |
title |
Optimization of employee scheduling using linear programming model / Nur Hidayah Fakhrurrazi & Nurzawiyah Noorzaimi |
title_short |
Optimization of employee scheduling using linear programming model / Nur Hidayah Fakhrurrazi & Nurzawiyah Noorzaimi |
title_full |
Optimization of employee scheduling using linear programming model / Nur Hidayah Fakhrurrazi & Nurzawiyah Noorzaimi |
title_fullStr |
Optimization of employee scheduling using linear programming model / Nur Hidayah Fakhrurrazi & Nurzawiyah Noorzaimi |
title_full_unstemmed |
Optimization of employee scheduling using linear programming model / Nur Hidayah Fakhrurrazi & Nurzawiyah Noorzaimi |
title_sort |
optimization of employee scheduling using linear programming model / nur hidayah fakhrurrazi & nurzawiyah noorzaimi |
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2019 |
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http://ir.uitm.edu.my/id/eprint/39793/1/39793.pdf http://ir.uitm.edu.my/id/eprint/39793/ |
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1687396812547162112 |
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