Deep uncertainty in humanitarian logistics operations: decision-making challenges in responding to large-scale natural disasters
by Mohammad Tafiqur Rahman; Tim A. Majchrzak; Tina Comes
International Journal of Emergency Management (IJEM), Vol. 15, No. 3, 2019

Abstract: Humanitarian logistics operations perform challenging tasks while responding to large-scale natural disasters. Decision makers at different stages of humanitarian operations exploit numerous problem-specific decision-making models or tools. When synchronising the outputs (decisions) from models into a unified solution, the situation becomes critical because of the lack of consensus on objectives and the availability of model alternatives with uncertainty in the models' key parameters and evaluation of the models' alternative outcomes. Thus, the operational environment becomes complex to respond urgently to humanitarian needs and makes the situation deeply uncertain. In this paper, we inspect humanitarian logistics problems and available deep uncertainty approaches to identify the adapting needs in the latter to be applicable to the former. Our research findings indicate that deep uncertainty approaches should incorporate the concept of short-term planning by considering time constraints, bounded process iteration, data transformation technique, handling process failure, and ways of identifying model assumptions.

Online publication date: Mon, 09-Sep-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 Emergency Management (IJEM):
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