Single Machine Common Due Date Scheduling Problems Using Neural Network
This paper presents an approach for scheduling under a common due date on static single machine problem based on artificial neural network. The objective is to sequence the jobs on the machine so that the total cost be minimized. This cost is composed of the total earliness and the total tardiness c...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2002
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| Online Access: | http://eprints.utm.my/1351/1/JT36C6.pdf |
| _version_ | 1796853224140963840 |
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| author | Hamad, Abdelaziz Sanugi, Bahrom Salleh, Shaharuddin |
| author_facet | Hamad, Abdelaziz Sanugi, Bahrom Salleh, Shaharuddin |
| author_sort | Hamad, Abdelaziz |
| collection | ePrints |
| description | This paper presents an approach for scheduling under a common due date on static single machine problem based on artificial neural network. The objective is to sequence the jobs on the machine so that the total cost be minimized. This cost is composed of the total earliness and the total tardiness cost. Neural network is a suitable model in our study due to the fact that the problem is NPhard. In our study, neural network has been proven to be effective and robust in generating optimal solutions to the problem |
| first_indexed | 2024-03-05T17:56:25Z |
| format | Article |
| id | utm.eprints-1351 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T17:56:25Z |
| publishDate | 2002 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-13512017-11-01T04:17:44Z http://eprints.utm.my/1351/ Single Machine Common Due Date Scheduling Problems Using Neural Network Hamad, Abdelaziz Sanugi, Bahrom Salleh, Shaharuddin QA Mathematics This paper presents an approach for scheduling under a common due date on static single machine problem based on artificial neural network. The objective is to sequence the jobs on the machine so that the total cost be minimized. This cost is composed of the total earliness and the total tardiness cost. Neural network is a suitable model in our study due to the fact that the problem is NPhard. In our study, neural network has been proven to be effective and robust in generating optimal solutions to the problem Penerbit UTM Press 2002-06 Article PeerReviewed application/pdf en http://eprints.utm.my/1351/1/JT36C6.pdf Hamad, Abdelaziz and Sanugi, Bahrom and Salleh, Shaharuddin (2002) Single Machine Common Due Date Scheduling Problems Using Neural Network. Jurnal Teknologi C (36C). pp. 75-82. ISSN 0127-9696 http://www.penerbit.utm.my/onlinejournal/36/C/JT36C6.pdf |
| spellingShingle | QA Mathematics Hamad, Abdelaziz Sanugi, Bahrom Salleh, Shaharuddin Single Machine Common Due Date Scheduling Problems Using Neural Network |
| title | Single Machine Common Due Date Scheduling Problems Using Neural Network |
| title_full | Single Machine Common Due Date Scheduling Problems Using Neural Network |
| title_fullStr | Single Machine Common Due Date Scheduling Problems Using Neural Network |
| title_full_unstemmed | Single Machine Common Due Date Scheduling Problems Using Neural Network |
| title_short | Single Machine Common Due Date Scheduling Problems Using Neural Network |
| title_sort | single machine common due date scheduling problems using neural network |
| topic | QA Mathematics |
| url | http://eprints.utm.my/1351/1/JT36C6.pdf |
| work_keys_str_mv | AT hamadabdelaziz singlemachinecommonduedateschedulingproblemsusingneuralnetwork AT sanugibahrom singlemachinecommonduedateschedulingproblemsusingneuralnetwork AT sallehshaharuddin singlemachinecommonduedateschedulingproblemsusingneuralnetwork |