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.
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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Journal Article|
|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|
|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|
Repository Staff Only: item control page