A scenario approach for a capacity planning problem with stochastic demands
by Aman Isaac Ettien, Nejib Ben Hadj-Alouane, Atidel Boubaker Hadj-Alouane
International Journal of Logistics Systems and Management (IJLSM), Vol. 3, No. 2, 2007

Abstract: A scenario-based approach to solving a multiproduct and stochastic capacity-planning problem, is presented. This approach is a flexible management tool for strategic decision-makers to optimise, over a given planning horizon, and under uncertain demand, capacity-planning strategies. It is applicable in situations where different products can be produced, stored, and distributed to different sites having flexible capacities, and with multiple technological choices. It works by attempting to strike a compromise between profit and risk, and by analysing a set of feasible strategies, derived under specific demand scenarios, using the notion of confidence intervals.

Online publication date: Sun, 24-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 Logistics Systems and Management (IJLSM):
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