Riascos Ochoa, J., Sanchez Silva, M., & Akhavan-Tabatabaei, R. (2014). Phase-type distributions in structural degradation: fitting to real data and reliability estimation. Procc. 46th ESReDA Seminar on:Reliability Assessment and Life Cycle Analysis of Structures and Infrastructures. Politecnico di Torino, Turino, Italy. May 29th – 30th.
Akhavan-Tabatabaei, R., Sanchez Silva, M., & Riascos Ochoa, J. (2014). A review of challenges and strategies for modeling structural degradation. Procc Structures Congress 2014. Boston, MA April 3-5.
Namén León, M., Akhavan-Tabatabaei, R., & Celis Amortegui, L. (2013). Optimal screening policies for cervical cancer prevention in Colombia. IIE Annual Conference & Expo 2013 . ISERC. San Juan, Puerto Rico.
Riascos Ochoa J., Sanchez Silva M., & Akhavan-Tabatabaei, R. (2013). Stochastic shock models for degrading infrastructure systems via Phase-Type distributions. Proceedings of the ESREL 2013 Annual Conference. Amsterdam, Nederland.
Gómez, A., Mariño, R., Akhavan-Tabatabaei, R., & Medaglia, A. (2013). A united framework for vehicle routing problems with stochastic travel and service times. Proceedings of the Tristan VIII – Eigth Triennial Symposium On Transportation Analysis. San Pedro de Atacama, Chile.
Sefair, J. A., Méndez, C. Y., Medaglia, A. L. and Zuluaga, L. F. Linear solution schemes for the mean-semivariance portfolio allocation model. Working paper.
Medaglia, A. L., Sefair, J. A. and Wilson, J. R. Generating correlated random vectors using mixed-integer programming. Working paper.
Ramírez, M. A., Medaglia, A. L. and J. E. Mendoza. A column generation-based heuristic for two-dimensional cutting stock problems with variable dimensions. Working paper.
González, J. E., Lozano, L., Walteros, J. L., Feillet, D., and Medaglia, A. L.. Solving the bus rapid transit route design problem with general topologies via simultaneous column and cut generation. Working paper.
COPA supports the decision making process at organizations via the analysis, design and application of operations research (OR) and statistical computer-based techniques. Our purpose is to contribute to the scientific and technological development of Colombia, becoming a leading group in R&D.