Production scheduling system for job shop enterprise using ANT colony optimization approach

Current computerized scheduling system shows inability to search for the best product route among all possible routes. But in the real working environment, different product route plays a vital role especially for enterprises that produces a variety of product at one time. This project describes the...

詳細記述

書誌詳細
第一著者: Ho, Fu Haw
フォーマット: 学位論文
言語:英語
出版事項: 2008
主題:
オンライン・アクセス:http://eprints.utm.my/9532/1/RohaidahMasriPFSA2009.pdf
_version_ 1846215285679325184
author Ho, Fu Haw
author_facet Ho, Fu Haw
author_sort Ho, Fu Haw
description Current computerized scheduling system shows inability to search for the best product route among all possible routes. But in the real working environment, different product route plays a vital role especially for enterprises that produces a variety of product at one time. This project describes the development of a scheduling system that generates all possible product route. This scheduling system operate based on the push scheduling concept. Then, with the aid of Ant Colony Optimization concept, all possible product processing routes are evaluated according to the total product scheduling time. At the end of the optimization process, the best product processing route can be identified based on the shortest processing time (SPT) calculated in the scheduling system. The system was developed using the Microsoft Visual Basic 6.0, while the system databases were built using the Microsoft Access. All the required data are provided by a manufacturing company in Muar, Johor. Results shows that the proposed product processing route is better than the generated default scheduling in terms of the total processing time and shortest machines idleness in all the workstations.
format Thesis
id uthm-9532
institution Universiti Teknologi Malaysia
language English
publishDate 2008
record_format eprints
spelling uthm-95322018-06-29T21:50:50Z http://eprints.utm.my/9532/ Production scheduling system for job shop enterprise using ANT colony optimization approach Ho, Fu Haw TJ Mechanical engineering and machinery Current computerized scheduling system shows inability to search for the best product route among all possible routes. But in the real working environment, different product route plays a vital role especially for enterprises that produces a variety of product at one time. This project describes the development of a scheduling system that generates all possible product route. This scheduling system operate based on the push scheduling concept. Then, with the aid of Ant Colony Optimization concept, all possible product processing routes are evaluated according to the total product scheduling time. At the end of the optimization process, the best product processing route can be identified based on the shortest processing time (SPT) calculated in the scheduling system. The system was developed using the Microsoft Visual Basic 6.0, while the system databases were built using the Microsoft Access. All the required data are provided by a manufacturing company in Muar, Johor. Results shows that the proposed product processing route is better than the generated default scheduling in terms of the total processing time and shortest machines idleness in all the workstations. 2008-12 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/9532/1/RohaidahMasriPFSA2009.pdf Ho, Fu Haw (2008) Production scheduling system for job shop enterprise using ANT colony optimization approach. Masters thesis, Universiti Teknologi Malaysia, Faculty of Mechanical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:869?site_name=Restricted Repository
spellingShingle TJ Mechanical engineering and machinery
Ho, Fu Haw
Production scheduling system for job shop enterprise using ANT colony optimization approach
title Production scheduling system for job shop enterprise using ANT colony optimization approach
title_full Production scheduling system for job shop enterprise using ANT colony optimization approach
title_fullStr Production scheduling system for job shop enterprise using ANT colony optimization approach
title_full_unstemmed Production scheduling system for job shop enterprise using ANT colony optimization approach
title_short Production scheduling system for job shop enterprise using ANT colony optimization approach
title_sort production scheduling system for job shop enterprise using ant colony optimization approach
topic TJ Mechanical engineering and machinery
url http://eprints.utm.my/9532/1/RohaidahMasriPFSA2009.pdf
url-record http://eprints.utm.my/9532/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:869?site_name=Restricted Repository
work_keys_str_mv AT hofuhaw productionschedulingsystemforjobshopenterpriseusingantcolonyoptimizationapproach