A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost
In this paper, a new method is proposed for short-term period scheduling of dynamic cellular manufacturing systems in the presence of bottleneck and parallel machines. The aim of this method is to find best production strategy of in-house manufacturing and outsourcing in small and medium scale cellu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/54862/ http://psasir.upm.edu.my/id/eprint/54862/1/A%20multi-layer%20perceptron%20for%20scheduling%20cellular%20manufacturing%20systems%20in%20the%20presence%20.pdf |
| _version_ | 1848852650106290176 |
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| author | Delgoshaei, Aidin Gomes, Chandima |
| author_facet | Delgoshaei, Aidin Gomes, Chandima |
| author_sort | Delgoshaei, Aidin |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In this paper, a new method is proposed for short-term period scheduling of dynamic cellular manufacturing systems in the presence of bottleneck and parallel machines. The aim of this method is to find best production strategy of in-house manufacturing and outsourcing in small and medium scale cellular manufacturing companies. For this purpose, a multi-period scheduling model has been proposed which is flexible enough to be used in real industries. To solve the proposed problem, a number of metaheuristics are developed including Branch and Bound; Simulated Annealing algorithms; Fuzzy Art Control; Ant Colony Optimization and a hybrid Multi-layer Perceptron and Simulated Annealing algorithms. Our findings indicate that the uncertain condition of system costs affects the routing of product parts and may induce machine-load variations that yield to cell-load diversity. The results showed that the proposed method can significantly reduce cell load variation while finding the best trading off values between in-house manufacturing and outsourcing. |
| first_indexed | 2025-11-15T10:41:27Z |
| format | Article |
| id | upm-54862 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:41:27Z |
| publishDate | 2016 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-548622018-05-28T07:22:14Z http://psasir.upm.edu.my/id/eprint/54862/ A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost Delgoshaei, Aidin Gomes, Chandima In this paper, a new method is proposed for short-term period scheduling of dynamic cellular manufacturing systems in the presence of bottleneck and parallel machines. The aim of this method is to find best production strategy of in-house manufacturing and outsourcing in small and medium scale cellular manufacturing companies. For this purpose, a multi-period scheduling model has been proposed which is flexible enough to be used in real industries. To solve the proposed problem, a number of metaheuristics are developed including Branch and Bound; Simulated Annealing algorithms; Fuzzy Art Control; Ant Colony Optimization and a hybrid Multi-layer Perceptron and Simulated Annealing algorithms. Our findings indicate that the uncertain condition of system costs affects the routing of product parts and may induce machine-load variations that yield to cell-load diversity. The results showed that the proposed method can significantly reduce cell load variation while finding the best trading off values between in-house manufacturing and outsourcing. Elsevier 2016-12 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/54862/1/A%20multi-layer%20perceptron%20for%20scheduling%20cellular%20manufacturing%20systems%20in%20the%20presence%20.pdf Delgoshaei, Aidin and Gomes, Chandima (2016) A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost. Applied Soft Computing, 49. pp. 27-55. ISSN 1568-4946; ESSN: 1872-9681 10.1016/j.asoc.2016.06.025 |
| spellingShingle | Delgoshaei, Aidin Gomes, Chandima A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost |
| title | A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost |
| title_full | A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost |
| title_fullStr | A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost |
| title_full_unstemmed | A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost |
| title_short | A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost |
| title_sort | multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost |
| url | http://psasir.upm.edu.my/id/eprint/54862/ http://psasir.upm.edu.my/id/eprint/54862/ http://psasir.upm.edu.my/id/eprint/54862/1/A%20multi-layer%20perceptron%20for%20scheduling%20cellular%20manufacturing%20systems%20in%20the%20presence%20.pdf |