Multi-objective mixed-model parallel assembly line balancing with a fuzzy adaptive biogeography-based algorithm
by Parames Chutima; Nutthachai Yothaboriban
International Journal of Industrial and Systems Engineering (IJISE), Vol. 26, No. 1, 2017

Abstract: Parallel assembly lines (PALs) typify a production facility comprising of two or more straight assembly lines arranged in parallel to assemble similar products or different models of the same product. The configuration of PALs poses new challenges for the optimal design of the lines since the efficacy of the assembly system can be improved by combining stations of adjacent lines when balancing them. As a consequence, the multi-objective mixed-model parallel assembly line balancing problem is addressed in this paper. The hierarchical objectives to be optimised include: 1) minimising number of workstations; 2) minimising number of stations; 3) simultaneously minimising workload variation and maximising work-relatedness. The fuzzy BBO (F-BBO) algorithm is developed to tackle this problem and its performances are evaluated against several well-known algorithms under different instances of benchmark problems. The experimental results show that the solution quality of the proposed F-BBO is significantly better than the contestant algorithms.

Online publication date: Wed, 22-Mar-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Industrial and Systems Engineering (IJISE):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com