Performance analysis of multi-echelon supply chain network through new DSS optimiser
by Rajeshwar S. Kadadevaramath
International Journal of Computer Applications in Technology (IJCAT), Vol. 36, No. 3/4, 2009

Abstract: Network modelling becomes more complex as the dimensions and scope of the supply chain expand. Uncertainties in the supply chain usually increase the variance of profit or cost to the company, increasing the likelihood of total supply chain cost. Demand uncertainty and constraints posed by every echelon are important factors to be considered in the supply chain design operations. This paper specifically deals with the modelling and optimisation of a three echelon supply chain network using new optimisation tool, the particle swarm optimisation algorithm, which acts as collaborative design and manufacturing and distribution optimisation tool and essentially involves decision-making processes that require rigorous evaluation, comparison and selection of design and manufacturing solution alternatives and optimisation from a global perspective. Increasing design and manufacturing and distribution knowledge and supporting better collaborations among supply chain agents/partners to make intelligent decisions can result in higher profits to the organisations.

Online publication date: Wed, 02-Sep-2009

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 Computer Applications in Technology (IJCAT):
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