Using harmony search for optimising university shuttle bus driver scheduling for better operational management

Managing human resource to achieve specific goal in an organisation is a crucial task. One of various aspects in managing human resource is preparing optimum scheduling to perform certain tasks. The main objective of this paper is to illustrate the preparation and the work of optimum scheduling for...

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Main Authors: Abal Abas, Zuraida, Shaffiei, Zatul Alwani, Abdul Rahman, Ahmad Fadzli Nizam, Shibghatullah, Abdul Samad
Format: Conference or Workshop Item
Language:English
Published: 2014
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Online Access:http://eprints.utem.edu.my/id/eprint/14085/1/ITMAR-14-548_Using_HS_for_optimising_university_shuttle_bus_driver_scheduling_for_better_operational_management.pdf
http://eprints.utem.edu.my/id/eprint/14085/
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spelling my.utem.eprints.140852015-05-28T04:36:12Z http://eprints.utem.edu.my/id/eprint/14085/ Using harmony search for optimising university shuttle bus driver scheduling for better operational management Abal Abas, Zuraida Shaffiei, Zatul Alwani Abdul Rahman, Ahmad Fadzli Nizam Shibghatullah, Abdul Samad QA75 Electronic computers. Computer science Managing human resource to achieve specific goal in an organisation is a crucial task. One of various aspects in managing human resource is preparing optimum scheduling to perform certain tasks. The main objective of this paper is to illustrate the preparation and the work of optimum scheduling for university shuttle bus driver using a recently develop meta-heuristic technique known as Harmony Search. A mathematical formulation for the university shuttle bus driver scheduling problem based on the requirement and the preference of the university is illustrated. The optimum schedule is generated using Harmony Search, an optimisation approach inspired by the processes in music improvisation with less mathematical computation. It can be seen that the result produced using harmony search approach to automate the optimum university shuttle bus driver scheduling is quite promising because it yield better value of objective function compared with the one being done manually. Automation of the optimum university bus driver scheduling certainly can enhanced the operational management processes. This work can be regarded as a multidisciplinary work which several domains such as computer science, mathematics, operational research and management are involved. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/14085/1/ITMAR-14-548_Using_HS_for_optimising_university_shuttle_bus_driver_scheduling_for_better_operational_management.pdf Abal Abas, Zuraida and Shaffiei, Zatul Alwani and Abdul Rahman, Ahmad Fadzli Nizam and Shibghatullah, Abdul Samad (2014) Using harmony search for optimising university shuttle bus driver scheduling for better operational management. In: nternational Conference on Innovative Trends in Multidisciplinary Academic Research, October 20-21, 2014, Istanbul, Turkey.
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Abal Abas, Zuraida
Shaffiei, Zatul Alwani
Abdul Rahman, Ahmad Fadzli Nizam
Shibghatullah, Abdul Samad
Using harmony search for optimising university shuttle bus driver scheduling for better operational management
description Managing human resource to achieve specific goal in an organisation is a crucial task. One of various aspects in managing human resource is preparing optimum scheduling to perform certain tasks. The main objective of this paper is to illustrate the preparation and the work of optimum scheduling for university shuttle bus driver using a recently develop meta-heuristic technique known as Harmony Search. A mathematical formulation for the university shuttle bus driver scheduling problem based on the requirement and the preference of the university is illustrated. The optimum schedule is generated using Harmony Search, an optimisation approach inspired by the processes in music improvisation with less mathematical computation. It can be seen that the result produced using harmony search approach to automate the optimum university shuttle bus driver scheduling is quite promising because it yield better value of objective function compared with the one being done manually. Automation of the optimum university bus driver scheduling certainly can enhanced the operational management processes. This work can be regarded as a multidisciplinary work which several domains such as computer science, mathematics, operational research and management are involved.
format Conference or Workshop Item
author Abal Abas, Zuraida
Shaffiei, Zatul Alwani
Abdul Rahman, Ahmad Fadzli Nizam
Shibghatullah, Abdul Samad
author_facet Abal Abas, Zuraida
Shaffiei, Zatul Alwani
Abdul Rahman, Ahmad Fadzli Nizam
Shibghatullah, Abdul Samad
author_sort Abal Abas, Zuraida
title Using harmony search for optimising university shuttle bus driver scheduling for better operational management
title_short Using harmony search for optimising university shuttle bus driver scheduling for better operational management
title_full Using harmony search for optimising university shuttle bus driver scheduling for better operational management
title_fullStr Using harmony search for optimising university shuttle bus driver scheduling for better operational management
title_full_unstemmed Using harmony search for optimising university shuttle bus driver scheduling for better operational management
title_sort using harmony search for optimising university shuttle bus driver scheduling for better operational management
publishDate 2014
url http://eprints.utem.edu.my/id/eprint/14085/1/ITMAR-14-548_Using_HS_for_optimising_university_shuttle_bus_driver_scheduling_for_better_operational_management.pdf
http://eprints.utem.edu.my/id/eprint/14085/
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score 13.211869