A logistics model for emergency supply of critical items in the aftermath of a disaster

This paper proposes a logistics model for delivery of prioritized items in disaster relief operations. It considers multi-items, multi-vehicles, multi-periods, soft time windows, and a split delivery strategy scenario, and is formulated as a multi-objective integer programming model. To effectively...

Full description

Saved in:
Bibliographic Details
Published in:Socio-economic planning sciences 2011-12, Vol.45 (4), p.132-145
Main Authors: Lin, Yen-Hung, Batta, Rajan, Rogerson, Peter A., Blatt, Alan, Flanigan, Marie
Format: Article
Language:English
Subjects:
Case studies
Disaster relief
Humanitarian logistics
Logistics
Natural disasters
Prioritizing delivery
Supply
Transport
Vehicle routing problem
Vehicle routing problem Humanitarian logistics Prioritizing delivery Disaster relief
Victims
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper proposes a logistics model for delivery of prioritized items in disaster relief operations. It considers multi-items, multi-vehicles, multi-periods, soft time windows, and a split delivery strategy scenario, and is formulated as a multi-objective integer programming model. To effectively solve this model we limit the number of available tours. Two heuristic approaches are introduced for this purpose. The first approach is based on a genetic algorithm, while the second approach is developed by decomposing the original problem. We compare these two approaches via a computational study. The multi-objective problem is converted to a single-objective problem by the weighted sum method. A case study is presented to illustrate the potential applicability of our model. Also, presented is a comparison of our model with that proposed in a recent paper by Balcik et al. [6]. The results show that our proposed model outperforms theirs in terms of delivering prioritized items over several time periods.
ISSN:0038-0121
1873-6041
DOI:10.1016/j.seps.2011.04.003