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...

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Main Authors: Hamad, Abdelaziz, Sanugi, Bahrom, Salleh, Shaharuddin
Format: Article
Language:en
Published: Penerbit UTM Press 2002
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Online Access:http://eprints.utm.my/1351/1/JT36C6.pdf
http://eprints.utm.my/1351/
http://www.penerbit.utm.my/onlinejournal/36/C/JT36C6.pdf
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author Hamad, Abdelaziz
Sanugi, Bahrom
Salleh, Shaharuddin
author_facet Hamad, Abdelaziz
Sanugi, Bahrom
Salleh, Shaharuddin
author_sort Hamad, Abdelaziz
building UTM Library
collection Institutional Repository
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
continent Asia
country Malaysia
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
format Article
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institution Universiti Teknologi Malaysia
language en
publishDate 2002
publisher Penerbit UTM Press
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spelling my.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
http://eprints.utm.my/1351/
http://www.penerbit.utm.my/onlinejournal/36/C/JT36C6.pdf
url_provider http://eprints.utm.my/