4.7 Article Proceedings Paper

SARPlan: A decision support system for Canadian Search and Rescue Operations

Journal

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 162, Issue 3, Pages 630-653

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.ejor.2003.10.029

Keywords

decision support systems; search theory; constraints satisfaction; global optimization; Search and Rescue

Ask authors/readers for more resources

We present SARPlan, a geographic decision support system designed to assist the Canadian Forces in the optimal planning of search missions for missing aircraft. Its primary purpose is to ensure that the available search resources are deployed in a way that will maximize the mission's probability of success. The optimization modules are based on search theory, on gradient search methods and on constraint satisfaction programming. We include results that demonstrate that SARPlan improves the performance when compared to the current manual method. This improvement translates to an increase in the chances of finding, lost aircraft and survivors, resulting in more saved lives. Another benefit of using SARPlan is a potential decrease in the operations costs. In 2001, SARPlan was the winner of three prestigious excellence awards in the information technology domain. (C) 2003 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available