Simultaneous scheduling of jobs, machines and tools considering tool transfer times in multi-machine FMS using new nature-inspired algorithms
by N. Sivarami Reddy; D.V. Ramamurthy; K. Prahlada Rao
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 17, No. 1/2, 2018

Abstract: This paper addresses simultaneous scheduling of jobs, machines and tools considering tool transfer times (TTTs) between machines, to generate best optimal sequences that minimise makespan in a multi-machine flexible manufacturing system (FMS). Performance of FMS is expected to improve by effective utilisation of its resources, by proper integration and synchronisation of their scheduling. Aim of this paper is to address joint scheduling of jobs, machine and tools in an FMS consisting of machines, central tool magazine and tool transporter considering TTTs. Three nature-inspired algorithms namely Symbiotic Organisms Search algorithm, Crow search algorithm and Flower pollination algorithm, are proposed for solving joint jobs, machine and tool scheduling problems considering TTTs between machines with minimum makespan as objective. The proposed algorithms are numerically tested on various problems and results are compared. The results show that FPA algorithm yields better results for simultaneous scheduling of jobs, machines and tools considering TTTs between machines.

Online publication date: Tue, 08-May-2018

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 subs@inderscience.com