Multi-phase composite analytical model for integrated allocation-routing problem – application of blood bank logistics
by P. Sivakumar, K. Ganesh, P. Parthiban
International Journal of Logistics Economics and Globalisation (IJLEG), Vol. 1, No. 3/4, 2008

Abstract: The integrated problem of allocating and routing blood for a public and private health care system is addressed. We modelled the problem as multiple-vehicle, multi-depot, multi-criteria allocation-routing problem which is termed as integrated allocation-routing (IAR) problem. We propose a three-phase composite analytical model (CAM) to solve IAR problem for public sector blood banks and five-phase CAM for private sector blood banks. Models are developed based on the integration of analytic hierarchy process and mixed-integer linear programming model. Quality of both models is evaluated on randomly generated datasets and a real-life case study.

Online publication date: Thu, 12-Feb-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 Logistics Economics and Globalisation (IJLEG):
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