A Stochastic Integer Programming Model for Minimizing Cost in the Use of Rain Water Collectors for Firefighting

Luis A. Rivera-Morales, Neale R. Smith, Mario G. Manzano and David Garza-Ramírez

Mathematical Problems in Engineering, 2014, vol. 2014, 1-9

Abstract:

In this paper we propose a stochastic integer programming optimization model to determine the optimal location and number of rain water collectors (RWCs) for forest firefighting. The objective is to minimize expected total cost to control forest fires. The model is tested using a real case and several additional realistic scenarios. The impact on the solution of varying the limit on the number of RWCs, the RWC water capacity, the aircraft capacity, the water demands, and the aircraft operating cost is explored. Some observations are that the objective value improves with larger RWCs and with the use of aircraft with greater capacity.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2014/983270.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2014/983270.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:983270

DOI: 10.1155/2014/983270

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().