Deploying NSBA algorithm for bi-objective manufacturing cells considering percentage utilisation of machines
by Tamal Ghosh; Kristian Martinsen
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 19, No. 3, 2020

Abstract: Percentage utilisation of machines is considered as an important production factor for manufacturing cell formation problem (CFP) in cellular manufacturing (CM). This recently developed concept correctly emphasises ratio data in context of CM. In this paper, an utilisation-based bi-objective mathematical model is developed, which minimises the total machine utilisation induced by bottleneck machines and number of voids. Thereafter, a new data-generating algorithm is introduced. The abovementioned bi-objective CFP is solved using a non-dominated sorting bat algorithm (NSBA), which is compared with published multi-objective bat algorithm (MOBA) successfully. Statistical tests are conducted and data consistency is confirmed on obtained results. The computational experiments depict that the Pareto solutions of NSBA are 35.7% improved. The contribution of this research is threefold. First, an accurate bi-objective mathematical expression is developed for utilisation-based CFPs. Second, a novel data-generating algorithm is stated. Third, NSBA technique is successfully tested.

Online publication date: Thu, 02-Jul-2020

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 Intelligent Systems Technologies and Applications (IJISTA):
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