A bi-objective model for humanitarian logistics network design in response to post-disaster
by Mahshid Zanganeh; Sadoullah Ebrahimnejad; Amirhossein Moosavi; Hamed Tayebi
International Journal of Logistics Systems and Management (IJLSM), Vol. 33, No. 2, 2019

Abstract: Disaster management is a broad topic consist various operations to recover victim regions of natural disasters, such as disaster relief (DR) and post-disaster operations. Regarding the considerable importance of sufficient and on time assistance for affected people, this paper investigates the humanitarian logistics network design (HLND) that allocates and distributes the DR resources to affected areas. In this study, a bi-objective mixed integer linear programming (MILP) model has been proposed that maximises lifesaving utility function of wounded people and minimises the consequences of aiding to affected people with delay. Since the required data for decision-making are changing over the time, rolling horizon approach and time-space network have been linked to each other in order to deal with the dynamic essence of this problem. Eventually, we have studied a real case study of Sichuan to evaluate the proposed MILP model. According to the computational results, assignment of DR resources satisfies 57.4%, 43.8%, 57.5% and 14.6% of the demands in Dujiangyan, Wenchuan, Beichuan, and Qingchuan cities only 20 hours after the natural disaster, respectively.

Online publication date: Sun, 09-Jun-2019

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