Scheduling fire-fighting tasks using the concept of "deteriorating jobs"

Canadian Journal of Forest Research

Volumn 36, Issue 3, 2006, Pages 652-658

  Rachaniotis, Nikos P ^a   Pappis, Costas P ^a  

^a UNIVERSITY OF PIRAEUS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

FIRE FIGHTING EQUIPMENT; FIRE PROTECTION; SCHEDULING;

FIRE CONTAINMENT; FIRE FIGHTING RESOURCES; FIRE SUPPRESSION;

FORESTRY;

FIRE MANAGEMENT; FOREST FIRE; MODEL; RESOURCE ALLOCATION;

FIRE FIGHTING; FORESTRY; SCHEDULING;

EID: 33745648520     PISSN: 00455067     EISSN: None     Source Type: Journal    
DOI: 10.1139/x05-267     Document Type: Article

References (18)

1. Alidaee, B., and Womer, N.K. 1999. Scheduling with time dependent processing times: review and extensions. J. Oper. Res. Soc. 50: 711-720.
2. Andrews, P.L. 1986. BEHAVE: Fire Behavior Prediction and Fuel Modeling System. BURN subsystem, part 1. USDA For. Serv. Gen. Tech. Rep. INT-194.
3. Burgan, R.E., and Rothermel, R.C. 1984. BEHAVE: Fire Behavior Prediction and Fuel Modeling System. FUEL subsystem. USDA For. Serv. Gen. Tech. Rep. INT-167.
4. Dimopoulou, M., and Giannikos, I. 1999. Spatial Optimization of forest fire management resources deployment for fire prevention and suppression. Paper presented at IFORS'99 15th Triennial Conference, Beijing, China, 16-20 August 1999.
5. Fried, J.S., and Fried, B.D. 1996. Simulating wildfire containment with realistic tactics. For. Sci. 42(3): 267-281.
6. Graham, R.I., Lawler, E.L., Lenstra, J.K., and Rinnooy Kan, A.H.G. 1979. Optimization and approximation in deterministic sequencing and scheduling: a survey. Ann. Discrete Math. 5: 287-326.
7. Hirsch, K.H. 1998. Canadian Forest Fire Behavior Prediction System. Interactive training and reference. University of British Columbia Press, Vancouver, B.C.
8. Kalabokidis, K.D., Gatzogiannis, S., and Galatsidas, S. 2002. Introducing wildfire into forest management planning: towards a conceptual approach. For. Ecol. Manage. 158: 41-50.
9. Katsanos, A. 1978. Suppression of forest fires by air. Vol. 40. Ministry of Agriculture, Department of Forest Research, Athens, Greece. pp. 13-73. [In Greek.]
10. Martell, D.L. 1982. A review of operational research studies in forest fire management. Can. J. For. Res. 12: 119-140.
11. Martell, D.L., Drysdale, R.J., Doan, G.E., and Boychuk, D. 1984. An evaluation of forest fire initial attack resources. Interfaces, 14(5): 20-32.
12. Martell, D.L., Gunn, E.A., and Weintraub, A. 1998. Forest management challenges for operational researchers. Eur. J. Oper. Res. 104: 1-17.
13. McAlpine, R.S., and Wakimoto, R.H. 1991. The acceleration of fire from point source to equilibrium spread. For. Sci. 37(5): 1314-1317.
14. McAlpine, R.S., and Xanthopoulos, G. 1989. Predicted vs. observed fire spread rates in ponderosa pine fuel beds: a test of American and Canadian systems. In Proceedings of the 10th Conference on Fire and Forest Meteorology, Ottawa, Ont., 17-21 April 1989. Forestry Canada, Ottawa, Ont. pp. 287-294.
15. Parlar, M. 1983. Optimal forest fire-control with limited reinforcements. Optimal Control Appl. Methods, 4(2): 185-191.
16. Parlar, M., and Vickson, R.G. 1982. Optimal forest fire control - an extension of Parks model. For. Sci. 28(2): 345-355.
17. Vorisis, D. 1999. Definition of the needs of suppress groups as concern of the prediction of the behaviour of the wild land fires. International Symposium, Forest Fires: Needs and Innovations, EC, DG XII, Athens, Greece, 18-19 November 1999.
18. Voutsinas, T.G., and Pappis, C.P. 2002. Scheduling jobs with values exponentially deteriorating over time. Int. J. Prod. Econ. 79(3): 163-169.