Optimising police officer schedule at Ibu Pejabat Polis Daerah (IPD) Kuala Muda using goal programming / Nurul Atikah Abdull

Some workplaces are faced with a problem in the allocation of workers to meet changing hours and day demands. Shifts of 28 police officers on a 4-week schedule in a 24-hour criminal unit in Ibu Pejabat Polis Daerah (IPD) Kuala Muda must be well organised to satisfy the preferences of police officers...

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Main Author: Abdull, Nurul Atikah
Format: Student Project
Language:English
Published: 2021
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/49266/1/49266.pdf
https://ir.uitm.edu.my/id/eprint/49266/
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.49266
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spelling my.uitm.ir.492662021-09-14T09:29:22Z https://ir.uitm.edu.my/id/eprint/49266/ Optimising police officer schedule at Ibu Pejabat Polis Daerah (IPD) Kuala Muda using goal programming / Nurul Atikah Abdull Abdull, Nurul Atikah Personnel management. Employment management Fuzzy decision making Some workplaces are faced with a problem in the allocation of workers to meet changing hours and day demands. Shifts of 28 police officers on a 4-week schedule in a 24-hour criminal unit in Ibu Pejabat Polis Daerah (IPD) Kuala Muda must be well organised to satisfy the preferences of police officers. The objective of this study is to obtain the best and most systematic schedules for police officers while considering all the constraints using goal programming method. The sub-objectives of this study are to formulate the best model for the shift sequence of the police officers and to find the best way to optimise the police scheduling related to the requirements of the police station and the preferences of the police. Lingo software is used to run the model. Only one of the three goals set for the study was achieved. Pursuant to the new schedule, Goal 1 was met where all police officers in the schedule pattern have the same working days value, which is 21 days in the 28-day planning period. The new schedule produced is better than the previous manual schedule. But it is therefore suggested that a hybrid swarm-based optimisation algorithm and a few methods be used to solve scheduling problems instead of goal programming as they provide efficiency and flexibility on the generated schedules. 2021-08-02 Student Project NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/49266/1/49266.pdf ID49266 Abdull, Nurul Atikah (2021) Optimising police officer schedule at Ibu Pejabat Polis Daerah (IPD) Kuala Muda using goal programming / Nurul Atikah Abdull. [Student Project] (Unpublished)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Personnel management. Employment management
Fuzzy decision making
spellingShingle Personnel management. Employment management
Fuzzy decision making
Abdull, Nurul Atikah
Optimising police officer schedule at Ibu Pejabat Polis Daerah (IPD) Kuala Muda using goal programming / Nurul Atikah Abdull
description Some workplaces are faced with a problem in the allocation of workers to meet changing hours and day demands. Shifts of 28 police officers on a 4-week schedule in a 24-hour criminal unit in Ibu Pejabat Polis Daerah (IPD) Kuala Muda must be well organised to satisfy the preferences of police officers. The objective of this study is to obtain the best and most systematic schedules for police officers while considering all the constraints using goal programming method. The sub-objectives of this study are to formulate the best model for the shift sequence of the police officers and to find the best way to optimise the police scheduling related to the requirements of the police station and the preferences of the police. Lingo software is used to run the model. Only one of the three goals set for the study was achieved. Pursuant to the new schedule, Goal 1 was met where all police officers in the schedule pattern have the same working days value, which is 21 days in the 28-day planning period. The new schedule produced is better than the previous manual schedule. But it is therefore suggested that a hybrid swarm-based optimisation algorithm and a few methods be used to solve scheduling problems instead of goal programming as they provide efficiency and flexibility on the generated schedules.
format Student Project
author Abdull, Nurul Atikah
author_facet Abdull, Nurul Atikah
author_sort Abdull, Nurul Atikah
title Optimising police officer schedule at Ibu Pejabat Polis Daerah (IPD) Kuala Muda using goal programming / Nurul Atikah Abdull
title_short Optimising police officer schedule at Ibu Pejabat Polis Daerah (IPD) Kuala Muda using goal programming / Nurul Atikah Abdull
title_full Optimising police officer schedule at Ibu Pejabat Polis Daerah (IPD) Kuala Muda using goal programming / Nurul Atikah Abdull
title_fullStr Optimising police officer schedule at Ibu Pejabat Polis Daerah (IPD) Kuala Muda using goal programming / Nurul Atikah Abdull
title_full_unstemmed Optimising police officer schedule at Ibu Pejabat Polis Daerah (IPD) Kuala Muda using goal programming / Nurul Atikah Abdull
title_sort optimising police officer schedule at ibu pejabat polis daerah (ipd) kuala muda using goal programming / nurul atikah abdull
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/49266/1/49266.pdf
https://ir.uitm.edu.my/id/eprint/49266/
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