Rodríguez Veiga, JorgeRodríguez Penas, DavidGonzález Rueda, Ángel ManuelGinzo Villamayor, María José2023-03-212023-03-212023Rodríguez-Veiga, J., Penas, D.R., González-Rueda, Á.M. et al. Application of decomposition techniques in a wildfire suppression optimization model. Optim Eng (2023). https://doi.org/10.1007/s11081-022-09783-82160-9543http://hdl.handle.net/10347/30369Resource assignment and scheduling models provides an automatic and fast decision support system for wildfire suppression logistics. However, this process generates challenging optimization problems in many real-world cases, and the computational time becomes a critical issue, especially in realistic-size instances. Thus, to overcome that limitation, this work studies and applies a set of decomposition techniques such as augmented Lagrangian, branch and price, and Benders decomposition’s to a wildfire suppression model. Moreover, a reformulation strategy, inspired by Benders’ decomposition, is also introduced and demonstrated. Finally, a numerical study comparing the behavior of the proposals using different problem sizes is conductedengThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/Atribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Assignment problemsWildfire managementDecomposition techniquesBenders decompositionInteger programmingInteger programmingjournal article10.1007/s11081-022-09783-8open access