Production scheduling system for job shop enteprise using ant colony optimization approach
Malaysian Technical Universities Conference on Engineering and Technology organized by Universiti Malaysia Pahang in collaboration with Universiti Tun Hussein Onn Malaysia, Universiti Teknikal Malaysia Melaka & Universiti Malaysia Perlis on June 20th - 22nd, 2009, at MS Garden Hotel, Kuantan, P...
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Universiti Malaysia Pahang
2010
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| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/8759 |
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my.unimap-87592010-08-17T08:59:23Z Production scheduling system for job shop enteprise using ant colony optimization approach Ho, Fu Haw Masine, Md Tap, Assoc. Prof. Dr. Push scheduling Ant colony optimization approach Shortest processing time Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) Malaysian Technical Universities Conference on Engineering and Technology organized by Universiti Malaysia Pahang in collaboration with Universiti Tun Hussein Onn Malaysia, Universiti Teknikal Malaysia Melaka & Universiti Malaysia Perlis on June 20th - 22nd, 2009, at MS Garden Hotel, Kuantan, Pahang, Malaysia. 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 research describes the development of a scheduling system that generates all possible product routes. This scheduling system operates 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. 2010-08-17T08:59:23Z 2010-08-17T08:59:23Z 2009-06-20 Working Paper p. 216-220 http://hdl.handle.net/123456789/8759 en Proceedings of the Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) 2009 Universiti Malaysia Pahang |
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English |
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Push scheduling Ant colony optimization approach Shortest processing time Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) |
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Push scheduling Ant colony optimization approach Shortest processing time Malaysian Technical Universities Conference on Engineering and Technology (MUCEET) Ho, Fu Haw Masine, Md Tap, Assoc. Prof. Dr. Production scheduling system for job shop enteprise using ant colony optimization approach |
| description |
Malaysian Technical Universities Conference on Engineering and Technology organized by Universiti Malaysia Pahang in collaboration with Universiti Tun Hussein Onn Malaysia, Universiti Teknikal Malaysia Melaka & Universiti Malaysia Perlis on
June 20th - 22nd, 2009, at MS Garden Hotel, Kuantan, Pahang, Malaysia. |
| format |
Working Paper |
| author |
Ho, Fu Haw Masine, Md Tap, Assoc. Prof. Dr. |
| author_facet |
Ho, Fu Haw Masine, Md Tap, Assoc. Prof. Dr. |
| author_sort |
Ho, Fu Haw |
| title |
Production scheduling system for job shop enteprise using ant colony optimization approach |
| title_short |
Production scheduling system for job shop enteprise using ant colony optimization approach |
| title_full |
Production scheduling system for job shop enteprise using ant colony optimization approach |
| title_fullStr |
Production scheduling system for job shop enteprise using ant colony optimization approach |
| title_full_unstemmed |
Production scheduling system for job shop enteprise using ant colony optimization approach |
| title_sort |
production scheduling system for job shop enteprise using ant colony optimization approach |
| publisher |
Universiti Malaysia Pahang |
| publishDate |
2010 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/8759 |
| _version_ |
1643789284255203328 |