A robust approach to design a single facility layout plan in dynamic manufacturing environments using a permutation-based genetic algorithm

Zarea Fazlelahi, Forough, Pournader, Mehrdokht, Gharakhani, Mohsen, & Sadjadi, Seyed Jafar (2016) A robust approach to design a single facility layout plan in dynamic manufacturing environments using a permutation-based genetic algorithm. Journal of Engineering Manufacture, 230(12), pp. 2264-2274.

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During the past few decades, developing efficient methods to solve dynamic facility layout problems has been focused on significantly by practitioners and researchers. More specifically meta-heuristic algorithms, especially genetic algorithm, have been proven to be increasingly helpful to generate sub-optimal solutions for large-scale dynamic facility layout problems. Nevertheless, the uncertainty of the manufacturing factors in addition to the scale of the layout problem calls for a mixed genetic algorithm–robust approach that could provide a single unlimited layout design. The present research aims to devise a customized permutation-based robust genetic algorithm in dynamic manufacturing environments that is expected to be generating a unique robust layout for all the manufacturing periods. The numerical outcomes of the proposed robust genetic algorithm indicate significant cost improvements compared to the conventional genetic algorithm methods and a selective number of other heuristic and meta-heuristic techniques.

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ID Code: 90666
Item Type: Journal Article
Refereed: Yes
Additional Information: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture November 20, 2015
Keywords: Dynamic Facility Layout Problem, Intra-cellular Manufacturing, Permutation-based Genetic Algorithm, Robust Optimization
DOI: 10.1177/0954405415615728
ISSN: 2041-2975
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MANUFACTURING ENGINEERING (091000)
Divisions: Current > Research Centres > Australian Centre for Entrepreneurship
Current > QUT Faculties and Divisions > QUT Business School
Current > Schools > School of Management
Copyright Owner: Copyright 2015 SAGE Publications Inc
Deposited On: 24 Nov 2015 03:01
Last Modified: 12 Jan 2017 00:48

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