Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew

In various industries, the exigency of workforce shift scheduling and rostering demands immediate, innovative solutions. Many off-the-shelf scheduling products lack the flexibility to adapt to varied organizational requirements, resulting in widespread reliance on manual interventions. This re...

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Main Author:	Kong Weng, Lee
Format:	Thesis
Language:	English English English
Published:	2024
Subjects:	QA Mathematics QA76 Computer software
Online Access:	http://ir.unimas.my/id/eprint/44688/3/DSVA_Lee%20Kong%20Weng.pdf http://ir.unimas.my/id/eprint/44688/4/Thesis%20PhD_LeeKongWeng%20-%2024%20pages.pdf http://ir.unimas.my/id/eprint/44688/5/Thesis%20PhD_LeeKongWeng.ftext.pdf
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id	my-unimas-ir.44688
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spelling	my-unimas-ir.446882024-05-21T06:55:16Z Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew 2024-04-25 Kong Weng, Lee QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software In various industries, the exigency of workforce shift scheduling and rostering demands immediate, innovative solutions. Many off-the-shelf scheduling products lack the flexibility to adapt to varied organizational requirements, resulting in widespread reliance on manual interventions. This research, rooted in a case study of a local airline at Kuala Lumpur International Airport (KLIA), a major regional hub, endeavours to formulate an algorithm addressing workforce shift scheduling and rostering complexities. The proposed algorithm aims to ensure judicious allocation of operational tasks, emphasizing minimal workforce utilization, reduced idleness, and heightened adaptability in employee schedules. Utilizing an existing workforce prediction method and shift design criteria, the study determines the minimum workforce required for task completion. Shifts are assigned based on this minimum, employing heuristic and genetic algorithms. Subsequent optimization of potential schedules culminates in the identification of the most efficacious ones. Empirical tests reveal the proposed heuristic method's superiority over manual practices and genetic algorithms. It not only minimizes shift idle time and aligns with optimal shift starting times but also significantly reduces workforce requirements, streamlining the shift scheduling process, irrespective of data size. This research contributes valuable insights to the advancement of workforce management strategies, offering practical and innovative solutions within the specified context. Lee Kong Weng 2024-04 Thesis http://ir.unimas.my/id/eprint/44688/ http://ir.unimas.my/id/eprint/44688/3/DSVA_Lee%20Kong%20Weng.pdf text en staffonly http://ir.unimas.my/id/eprint/44688/4/Thesis%20PhD_LeeKongWeng%20-%2024%20pages.pdf text en public http://ir.unimas.my/id/eprint/44688/5/Thesis%20PhD_LeeKongWeng.ftext.pdf text en validuser phd doctoral Universiti Malaysia Sarawak Faculty of Computer Science and Information Technology
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English English English
topic	QA Mathematics QA Mathematics QA76 Computer software
spellingShingle	QA Mathematics QA Mathematics QA76 Computer software Kong Weng, Lee Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew
description	In various industries, the exigency of workforce shift scheduling and rostering demands immediate, innovative solutions. Many off-the-shelf scheduling products lack the flexibility to adapt to varied organizational requirements, resulting in widespread reliance on manual interventions. This research, rooted in a case study of a local airline at Kuala Lumpur International Airport (KLIA), a major regional hub, endeavours to formulate an algorithm addressing workforce shift scheduling and rostering complexities. The proposed algorithm aims to ensure judicious allocation of operational tasks, emphasizing minimal workforce utilization, reduced idleness, and heightened adaptability in employee schedules. Utilizing an existing workforce prediction method and shift design criteria, the study determines the minimum workforce required for task completion. Shifts are assigned based on this minimum, employing heuristic and genetic algorithms. Subsequent optimization of potential schedules culminates in the identification of the most efficacious ones. Empirical tests reveal the proposed heuristic method's superiority over manual practices and genetic algorithms. It not only minimizes shift idle time and aligns with optimal shift starting times but also significantly reduces workforce requirements, streamlining the shift scheduling process, irrespective of data size. This research contributes valuable insights to the advancement of workforce management strategies, offering practical and innovative solutions within the specified context.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Kong Weng, Lee
author_facet	Kong Weng, Lee
author_sort	Kong Weng, Lee
title	Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew
title_short	Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew
title_full	Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew
title_fullStr	Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew
title_full_unstemmed	Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew
title_sort	rule prioritisation heuristic in shift design of airline ground crew
granting_institution	Universiti Malaysia Sarawak
granting_department	Faculty of Computer Science and Information Technology
publishDate	2024
url	http://ir.unimas.my/id/eprint/44688/3/DSVA_Lee%20Kong%20Weng.pdf http://ir.unimas.my/id/eprint/44688/4/Thesis%20PhD_LeeKongWeng%20-%2024%20pages.pdf http://ir.unimas.my/id/eprint/44688/5/Thesis%20PhD_LeeKongWeng.ftext.pdf
_version_	1804888433095606272

Rule Prioritisation Heuristic in Shift Design of Airline Ground Crew

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