How to cite this paper
Rezaei-Malek, M & Tavakkoli-Moghaddam, R. (2014). Robust humanitarian relief logistics network planning.Uncertain Supply Chain Management, 2(2), 73-96.
Refrences
Altay, N., & Green III, W.G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175, 475–93.
Alves, M.J., & Climaco, J. (2004). A note on a decision support system for multi-objective integer and mixed-integer programming problems. European Journal of Operational Research, 155, 258–265.
Bai, D., Carpenter, T., & Mulvey, J. (1997). Making a case for robust optimization models. Management Science, 43, 895–907.
Balcik, B., & Beamon, B.M. (2008). Facility location in humanitarian relief. International Journal of Logistics Research and Applications, 11, 101–121.
Ben-Tal, A., & Nemirovski, A. (1998). Robust convex optimization. Mathematics of Operations Research, 23, 769–805.
Ben-Tal, A., & Nemirovski, A. (2002). Robust optimization – methodology and applications. Mathematical Programming, 92, 453–480.
Ben-Tal, A., Nemirovski, A., & Roos, C. (2002). Robust solutions of uncertain quadratic and conic-quadratic problems. SIAM Journal on Optimization, 13, 535–560.
Bertsimas, D., & Sim, M. (2002). Robust discrete optimization, Technical Report, Sloan School of Management and Operations Research Center, MIT, Cambridge, MA.
Bertsimas, D., & Thiele, A. (2003). A robust optimization approach to supply chain management, Technical Report, Working Paper, MIT.
Bozorgi-Amiri, A., Jabalameli, M., & Mirzapour Al-e-Hashem, S. (2013). A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty. OR Spectrum, 35, 905–933.
Caunhye, A.M., Nie, X., & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socio-Economic Planning Sciences, 46, 4–13.
Chang, M.S., Tseng, Y.L., & Chen, J.W. (2007). A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 43, 737–754.
Demirtas, E.A., & Ustün, ?. (2008). An integrated multi-objective decision making process for supplier selection and order allocation. Omega, 36, 76–90.
Duran, S., Gutierrez, M.A., & Keskinocak, P. (2011). Pre-Positioning of Emergency Items for CARE International. Interfaces, 41, 223–237.
Gardiner, L.R., & Steuer, R.E. (1994). Unified interactive multiple objective programming. European Journal of Operational Research, 74, 391–406.
Huang, H.Z., Tian, Z., & Zuo, M.J. (2005). Intelligent interactive multi-objective optimization method and its application to reliability optimization. IIE Transaction, 37, 983–993.
Iakovou, E., Ip, C.M., Douligeris, C., & Korde, A. (1997). Optimal location and capacity of emergency cleanup equipment for oil spill response. European Journal of Operational Research, 96, 72–80.
Karaivanova, J., Korhonen, P., Narula, S., Wallenius, J., & Vassilev, V. (1995). A reference direction approach to multiple objective integer linear programming. European Journal of Operational Research, 81, 176–187.
Karaivanova, J.N., Narula, S.C., & Vassilev, V. (1993). An interactive procedure for multiple objective integer linear programming problems. European Journal of Operational Research, 68, 344–351.
Kov?cs, G., & Spens, K.M. (2007). Humanitarian logistics in disaster relief operations. International Journal of Physical Distribution and Logistics Management, 37, 99–114.
Lin, Y.H., Batta, R., Rogerson, P.A., Blatt, A., & Flanigan, M. (2011). A logistics model for emergency supply of critical items in the aftermath of a disaster. Socio-Economic Planning Sciences, 45, 132–145.
McCall, V.M. (2006). Designing and prepositioning humanitarian assistance pack-up kits (HA PUKs) to support pacific fleet emergency relief operations. Master Thesis, Naval Postgraduate School.
Mete, H.O., & Zabinsky, Z.B. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126, 76–84.
Mulvey, J.M., Vanderbei, R.J., & Zenios, S.A. (1995). Robust optimization of large-scale systems. Operations Research, 43, 264–281.
Murray, S. (2005). How to deliver on the promises: Supply chain logistics: Humanitarian agencies are learning lessons from business in bringing essential supplies to regions hit by the tsunami, Financial Times. 7th January 2005.
Najafi, M., Eshghi, K., & Dullaert, W. (2013). A multi-objective robust optimization model for logistics planning in the earthquake response phase. Transportation Research Part E: Logistic and Transportation Review, 49, 217–249.
Narula, S.C., & Vassilev, V. (1994). An interactive algorithm for solving multiple objective integer linear programming problems. European Journal of Operational Research, 79, 443–450.
Psaraftis, H.N., Tharakan, G.G., & Ceder, A. (1986). Optimal response to oil spills: the strategic decision case. Operations Research, 34, 203–217.
Rawls, C.G., & Turnquist, M.A. (2010). Pre-positioning of emergency supplies for disaster response. Transportation Research Part B: Methodological, 44, 521–534.
Rawls, C.G., & Turnquist, M.A. (2011). Pre-positioning planning for emergency response with service quality constraints. OR Spectrum, 33, 481–498.
Rawls, C.G., & Turnquist, M.A. (2012). Pre-positioning and dynamic delivery planning for short-term response following a natural disaster. Socio-Economic Planning Sciences, 46, 46–54.
Reeves, G.R., & Macleod, K.R. (1999). Some experiments in Tchebycheff-based approaches for interactive multiple objective decision making. Computers and Operational Research, 26, 1311–1121.
Steuer, R. (1986). Multiple criteria optimization. Wiley, New York.
Steuer, R., & Choo, E.U. (1983). An interactive weighted Tchebycheff procedure for multiple objective programming. Mathematical Programming, 26, 326–344.
Sun, M.H., Stam, A., & Steuer, R.E. (1996). Solving multiple objective programming problems using feed-forward artificial neural networks: the interactive FFANN procedure. Management Science, 42, 835–849.
Sun, M.H., Stam, A., & Steuer, R.E. (2000). Interactive multiple objective programming using Tchebycheff programs and artificial neural networks. Computers and Operational Research, 27, 601–620.
Thomas, A., & Mizushima, M. (2005). Logistics training: necessity or luxury?. Forced Migration Review, 22, 60–61.
Tofighi, S., Torabi, S.A., & Mansouri, S.A. (2011). A fuzzy stochastic approach for pre-positioning and distribution of emergency supplies in disaster management. Annual conference of the Production and Operation Management Society (POMS 2011), 22nd, Reno, NV, U.S.A.
Trestrail, J., Paul, J., & Maloni, M. (2009). Improving bid pricing for humanitarian logistics. International Journal of Physical Distribution and Logistics Management, 39, 428–441.
Vassilev, V., & Narula, S.C. (1993). A reference direction algorithm for solving multiple objective integer linear programming problems. Journal of Operational Research Society, 44, 1201–1209.
Wierzbicki, A. (1980). The Use of Reference Objectives in Multi-objective Optimization, in: G. Fandel, T. Gal (Eds.), Multiple Criteria Decision Making Theory and Application, Springer, Berlin, 468–486.
Wilhelm, W.E., & Srinivasa, A.V. (1996). A strategic, area-wide contingency planning model for oil spill cleanup operations with application demonstrated to the Galveston Bay area. Decision Sciences, 27, 767–799.
Yu, C.S., & Li, H.L. (2000). A robust optimization model for stochastic logistic problems. International Journal of Production Economics, 64, 385–397.
Zhang, Z.-H., & Jiang, H. (2013). A robust counterpart approach to the bi-objective emergency medical service design problem. Applied Mathematical Modeling, In Press.
Alves, M.J., & Climaco, J. (2004). A note on a decision support system for multi-objective integer and mixed-integer programming problems. European Journal of Operational Research, 155, 258–265.
Bai, D., Carpenter, T., & Mulvey, J. (1997). Making a case for robust optimization models. Management Science, 43, 895–907.
Balcik, B., & Beamon, B.M. (2008). Facility location in humanitarian relief. International Journal of Logistics Research and Applications, 11, 101–121.
Ben-Tal, A., & Nemirovski, A. (1998). Robust convex optimization. Mathematics of Operations Research, 23, 769–805.
Ben-Tal, A., & Nemirovski, A. (2002). Robust optimization – methodology and applications. Mathematical Programming, 92, 453–480.
Ben-Tal, A., Nemirovski, A., & Roos, C. (2002). Robust solutions of uncertain quadratic and conic-quadratic problems. SIAM Journal on Optimization, 13, 535–560.
Bertsimas, D., & Sim, M. (2002). Robust discrete optimization, Technical Report, Sloan School of Management and Operations Research Center, MIT, Cambridge, MA.
Bertsimas, D., & Thiele, A. (2003). A robust optimization approach to supply chain management, Technical Report, Working Paper, MIT.
Bozorgi-Amiri, A., Jabalameli, M., & Mirzapour Al-e-Hashem, S. (2013). A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty. OR Spectrum, 35, 905–933.
Caunhye, A.M., Nie, X., & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socio-Economic Planning Sciences, 46, 4–13.
Chang, M.S., Tseng, Y.L., & Chen, J.W. (2007). A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 43, 737–754.
Demirtas, E.A., & Ustün, ?. (2008). An integrated multi-objective decision making process for supplier selection and order allocation. Omega, 36, 76–90.
Duran, S., Gutierrez, M.A., & Keskinocak, P. (2011). Pre-Positioning of Emergency Items for CARE International. Interfaces, 41, 223–237.
Gardiner, L.R., & Steuer, R.E. (1994). Unified interactive multiple objective programming. European Journal of Operational Research, 74, 391–406.
Huang, H.Z., Tian, Z., & Zuo, M.J. (2005). Intelligent interactive multi-objective optimization method and its application to reliability optimization. IIE Transaction, 37, 983–993.
Iakovou, E., Ip, C.M., Douligeris, C., & Korde, A. (1997). Optimal location and capacity of emergency cleanup equipment for oil spill response. European Journal of Operational Research, 96, 72–80.
Karaivanova, J., Korhonen, P., Narula, S., Wallenius, J., & Vassilev, V. (1995). A reference direction approach to multiple objective integer linear programming. European Journal of Operational Research, 81, 176–187.
Karaivanova, J.N., Narula, S.C., & Vassilev, V. (1993). An interactive procedure for multiple objective integer linear programming problems. European Journal of Operational Research, 68, 344–351.
Kov?cs, G., & Spens, K.M. (2007). Humanitarian logistics in disaster relief operations. International Journal of Physical Distribution and Logistics Management, 37, 99–114.
Lin, Y.H., Batta, R., Rogerson, P.A., Blatt, A., & Flanigan, M. (2011). A logistics model for emergency supply of critical items in the aftermath of a disaster. Socio-Economic Planning Sciences, 45, 132–145.
McCall, V.M. (2006). Designing and prepositioning humanitarian assistance pack-up kits (HA PUKs) to support pacific fleet emergency relief operations. Master Thesis, Naval Postgraduate School.
Mete, H.O., & Zabinsky, Z.B. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126, 76–84.
Mulvey, J.M., Vanderbei, R.J., & Zenios, S.A. (1995). Robust optimization of large-scale systems. Operations Research, 43, 264–281.
Murray, S. (2005). How to deliver on the promises: Supply chain logistics: Humanitarian agencies are learning lessons from business in bringing essential supplies to regions hit by the tsunami, Financial Times. 7th January 2005.
Najafi, M., Eshghi, K., & Dullaert, W. (2013). A multi-objective robust optimization model for logistics planning in the earthquake response phase. Transportation Research Part E: Logistic and Transportation Review, 49, 217–249.
Narula, S.C., & Vassilev, V. (1994). An interactive algorithm for solving multiple objective integer linear programming problems. European Journal of Operational Research, 79, 443–450.
Psaraftis, H.N., Tharakan, G.G., & Ceder, A. (1986). Optimal response to oil spills: the strategic decision case. Operations Research, 34, 203–217.
Rawls, C.G., & Turnquist, M.A. (2010). Pre-positioning of emergency supplies for disaster response. Transportation Research Part B: Methodological, 44, 521–534.
Rawls, C.G., & Turnquist, M.A. (2011). Pre-positioning planning for emergency response with service quality constraints. OR Spectrum, 33, 481–498.
Rawls, C.G., & Turnquist, M.A. (2012). Pre-positioning and dynamic delivery planning for short-term response following a natural disaster. Socio-Economic Planning Sciences, 46, 46–54.
Reeves, G.R., & Macleod, K.R. (1999). Some experiments in Tchebycheff-based approaches for interactive multiple objective decision making. Computers and Operational Research, 26, 1311–1121.
Steuer, R. (1986). Multiple criteria optimization. Wiley, New York.
Steuer, R., & Choo, E.U. (1983). An interactive weighted Tchebycheff procedure for multiple objective programming. Mathematical Programming, 26, 326–344.
Sun, M.H., Stam, A., & Steuer, R.E. (1996). Solving multiple objective programming problems using feed-forward artificial neural networks: the interactive FFANN procedure. Management Science, 42, 835–849.
Sun, M.H., Stam, A., & Steuer, R.E. (2000). Interactive multiple objective programming using Tchebycheff programs and artificial neural networks. Computers and Operational Research, 27, 601–620.
Thomas, A., & Mizushima, M. (2005). Logistics training: necessity or luxury?. Forced Migration Review, 22, 60–61.
Tofighi, S., Torabi, S.A., & Mansouri, S.A. (2011). A fuzzy stochastic approach for pre-positioning and distribution of emergency supplies in disaster management. Annual conference of the Production and Operation Management Society (POMS 2011), 22nd, Reno, NV, U.S.A.
Trestrail, J., Paul, J., & Maloni, M. (2009). Improving bid pricing for humanitarian logistics. International Journal of Physical Distribution and Logistics Management, 39, 428–441.
Vassilev, V., & Narula, S.C. (1993). A reference direction algorithm for solving multiple objective integer linear programming problems. Journal of Operational Research Society, 44, 1201–1209.
Wierzbicki, A. (1980). The Use of Reference Objectives in Multi-objective Optimization, in: G. Fandel, T. Gal (Eds.), Multiple Criteria Decision Making Theory and Application, Springer, Berlin, 468–486.
Wilhelm, W.E., & Srinivasa, A.V. (1996). A strategic, area-wide contingency planning model for oil spill cleanup operations with application demonstrated to the Galveston Bay area. Decision Sciences, 27, 767–799.
Yu, C.S., & Li, H.L. (2000). A robust optimization model for stochastic logistic problems. International Journal of Production Economics, 64, 385–397.
Zhang, Z.-H., & Jiang, H. (2013). A robust counterpart approach to the bi-objective emergency medical service design problem. Applied Mathematical Modeling, In Press.