Performance analysis of supply chain network using a genetic algorithm and simulation
by S. Kumanan, S. Prasanna Venkatesan, K. Kumar, J. Prasanna Kumar
International Journal of Agile Systems and Management (IJASM), Vol. 1, No. 4, 2006

Abstract: Globalisation of economies and technological developments in information systems are forcing enterprises to re-orient their business strategies from independent operations towards integrated, strategic partnerships. This redirection has resulted in the evolution of the supply chain. The supply chain analysis tools and methodologies are improved for effective and efficient decision-making. In this paper, a genetic algorithm is proposed and exemplified for optimising the distribution plan of a two-stage supply chain logistic network. The outcome of the GA methodology is used in a simulation model developed to analyse the influence of demand fluctuation. Case examples are presented with the results and discussion.

Online publication date: Wed, 06-Dec-2006

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 Agile Systems and Management (IJASM):
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