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A multi-layer perceptron for scheduling cellular manufacturing systems in the presence of unreliable machines and uncertain cost


Citation

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

Abstract

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.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1016/j.asoc.2016.06.025
Publisher: Elsevier
Keywords: Design of manufacturing; Production system optimization; Modeling and simulation
Depositing User: Mohd Hafiz Che Mahasan
Date Deposited: 28 May 2018 07:22
Last Modified: 28 May 2018 07:22
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.asoc.2016.06.025
URI: http://psasir.upm.edu.my/id/eprint/54862
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