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A multi-objective genetic algorithm for assembly line resource assignment and balancing problem of type 2 (ALRABP-2).
- Source :
- Journal of Intelligent Manufacturing; Feb2017, Vol. 28 Issue 2, p371-385, 15p
- Publication Year :
- 2017
-
Abstract
- This paper presents a new extension of SALBP-2, so called assembly line resource assignment and balancing problem of type 2 (ALRABP-2). Two main differences from the existing literature are revealed in this work. The first is on the objective function which is a multiple one. It is aimed here to minimize both the cycle time and the cost per time unit (hour) of a line for a fixed number of stations to satisfy the constraints of precedence between tasks and compatibility between resources. The second difference lies in the proposed method to solve this problem. A new version of multi-objective genetic algorithm (MOGA) called hybrid MOGA (HMOGA) is elaborated. Full experiment design is used to obtain a better MOGA parameters combination. The effectiveness of the HMOGA was assessed through a set of literature problems. The performance of HMOGA shows a good quality of the fronts generated and a better problem-solving capacity for two optimisations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09565515
- Volume :
- 28
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Journal of Intelligent Manufacturing
- Publication Type :
- Academic Journal
- Accession number :
- 120771298
- Full Text :
- https://doi.org/10.1007/s10845-014-0984-6