Model-based decision support for supply chains
by Subhashini Ganapathy, S. Narayanan, Krishnamurthy Srinivasan
International Journal of Simulation and Process Modelling (IJSPM), Vol. 2, No. 3/4, 2006

Abstract: Advances in software algorithms, and operations research methods provide the opportunity for effectively modelling decentralised decision making in large-scale systems operating in dynamic, uncertain environments. Computer models typically contain software abstractions with an excellent mapping to real-world entities that can be rapidly assembled and used for predicting system performance under a variety of alternative situations. This paper outlines fundamental issues in modelling and human-centred decision making and presents an interactive system that follows the philosophy of mixed-initiative collaboration where human decision makers and automated agents work together in achieving high joint performance in the context of a supply chain system.

Online publication date: Mon, 05-Mar-2007

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 Simulation and Process Modelling (IJSPM):
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