Garbage truck staff duty roster using genetic algorithm / Nadea Suneeza Zulkifli

Staff scheduling is the assignment of employees to time slots such that certain constraints are satisfied. In this research, is intended to address the specific problem of scheduling stafls on daily shifts lor the duration of a month schedule. The solution attempts to assign shifts with certain cons...

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Main Author:	Zulkifli, Nadea Suneeza
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Instruments and machines Computer software Configuration management Algorithms Database management
Online Access:	https://ir.uitm.edu.my/id/eprint/69176/1/69176.pdf
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id	my-uitm-ir.69176
record_format	uketd_dc
spelling	my-uitm-ir.691762022-10-26T03:20:23Z Garbage truck staff duty roster using genetic algorithm / Nadea Suneeza Zulkifli 2017-01 Zulkifli, Nadea Suneeza Instruments and machines Electronic Computers. Computer Science Evolutionary programming (Computer science). Genetic algorithms Computer software Configuration management Algorithms Database management Staff scheduling is the assignment of employees to time slots such that certain constraints are satisfied. In this research, is intended to address the specific problem of scheduling stafls on daily shifts lor the duration of a month schedule. The solution attempts to assign shifts with certain constraints (determine the each staff will work equally less or equal to 28 working days) satisfied on acceptable degree. In this research, a Genetic Algorithm have been implemented for scheduling garbage truck staff duty roster at Environmental Health department. This technique is used because studies have shown reasonably good results when genetic algorithms are applied to the staff-scheduling problem. The solution that had being used is three-dimensional array chromosome structure to represent each schedule. The duty roster of the staff will be randomize in producing the best timetable using the Genetic Algorithm and the most fitness timetable that satisfied the constraints is the result. The constraint is defined as the minimum number of each staff being assigned in the work shift in the same day and time. Experimental result shows that my three-dimensional array staffscheduling implementation based on the best problem solution of the minimum violated working time of each staff works for 28 days equally to avoid overpay. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69176/ https://ir.uitm.edu.my/id/eprint/69176/1/69176.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Isa, Norulhidayah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Isa, Norulhidayah
topic	Instruments and machines Instruments and machines Instruments and machines Computer software Configuration management Algorithms Database management
spellingShingle	Instruments and machines Instruments and machines Instruments and machines Computer software Configuration management Algorithms Database management Zulkifli, Nadea Suneeza Garbage truck staff duty roster using genetic algorithm / Nadea Suneeza Zulkifli
description	Staff scheduling is the assignment of employees to time slots such that certain constraints are satisfied. In this research, is intended to address the specific problem of scheduling stafls on daily shifts lor the duration of a month schedule. The solution attempts to assign shifts with certain constraints (determine the each staff will work equally less or equal to 28 working days) satisfied on acceptable degree. In this research, a Genetic Algorithm have been implemented for scheduling garbage truck staff duty roster at Environmental Health department. This technique is used because studies have shown reasonably good results when genetic algorithms are applied to the staff-scheduling problem. The solution that had being used is three-dimensional array chromosome structure to represent each schedule. The duty roster of the staff will be randomize in producing the best timetable using the Genetic Algorithm and the most fitness timetable that satisfied the constraints is the result. The constraint is defined as the minimum number of each staff being assigned in the work shift in the same day and time. Experimental result shows that my three-dimensional array staffscheduling implementation based on the best problem solution of the minimum violated working time of each staff works for 28 days equally to avoid overpay.
format	Thesis
qualification_level	Bachelor degree
author	Zulkifli, Nadea Suneeza
author_facet	Zulkifli, Nadea Suneeza
author_sort	Zulkifli, Nadea Suneeza
title	Garbage truck staff duty roster using genetic algorithm / Nadea Suneeza Zulkifli
title_short	Garbage truck staff duty roster using genetic algorithm / Nadea Suneeza Zulkifli
title_full	Garbage truck staff duty roster using genetic algorithm / Nadea Suneeza Zulkifli
title_fullStr	Garbage truck staff duty roster using genetic algorithm / Nadea Suneeza Zulkifli
title_full_unstemmed	Garbage truck staff duty roster using genetic algorithm / Nadea Suneeza Zulkifli
title_sort	garbage truck staff duty roster using genetic algorithm / nadea suneeza zulkifli
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69176/1/69176.pdf
_version_	1783735852461981696

Garbage truck staff duty roster using genetic algorithm / Nadea Suneeza Zulkifli

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