An Immune Algorithm for the integration of process planning and scheduling
by Ying Tian, Pingyu Jiang, Mei Zheng
International Journal of Materials and Product Technology (IJMPT), Vol. 33, No. 1/2, 2008

Abstract: Process planning may generate several feasible process plans for each job in flexible manufacturing environment. To get the global optimality, it is necessary to integrate the process planning with scheduling. An integration model for process planning and scheduling is proposed in this paper. On the basis of natural immune theory, an Immune Algorithm (IA) is presented to solve the integration problem. The algorithm is based on clonal selection and affinity maturation for finding optimal solutions. To demonstrate the efficiency of the IA, some numerical experiments are carried out and analysed. The experiment results show that the process planning and scheduling problems may be effectively solved simultaneously using the proposed IA approach.

Online publication date: Wed, 30-Jul-2008

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 Materials and Product Technology (IJMPT):
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