How to cite this paper
Teimuory, E., Atoei, F., Mohammadi, E & Amiri, A. (2013). A multi-objective reliable programming model for disruption in supply chain.Management Science Letters , 3(5), 1467-1478.
Refrences
Aryanezhad, M.B, & Jabbarzadeh, A. ( 2009). An integrated model for location-inventory problem
with random disruptions. Proceedings of the International Conference on Computers & Industrial
Engineering, 39, 687-703.
Azad, N., & Davoudpour, H. (2011). Stochastic distribution network design with reliability,
consideration Journal of Zhejiang University-SCIENCE C (Computers & Electronics). in press,
doi:10.1631/jzus.C11a0087.
Azad, N., Saharidis, G. K.D., Davoudpour, H., Malekly, H. & Yektamaram, S.A. (2012) Strategies
for protecting supply chain networks against facility and transportation disruptions: an improved
Benders decomposition approach. Springer Science Business Media, Annual Operation research,
DOI 10.1007/s10479-012-1146-x.
Azaron, A., Brown, K. N., Tarim, S.A., & Modarres, M. (2008). A multi-objective stochastic
programming approach for supply chain design considering risk. International Journal of
Production Economics, 116, 129-138.
Bérubé, J. F., Gendreau, M. & Potvin, J.Y. (2009). An exact ?-constraint method for bi-objective
combinatorial optimization problems: Application to the traveling salesman problem with profits.
European Journal of Operational Research, 194, 39-50.
Berman, O., Krass, D., & Menezes, M. B. C. (2007). Facility reliability issues in network p-median
problems: Strategic centralization and co-location effects. Operations Research, 55 (2), 332-350.
Berman, O., Krass, D., & Meneze, M. B. C. (2009). Location facilities in the presence of disruptions
and information. Decision Science, 40, 845-868.
Bozorgi Atoei, F., Teimory, E., Bozorgi-Amiri, A. (2013). Designing reliable supply chain network
with disruption risk. International Journal of Industrial Engineering Computations. 4(1).
Bozorgi Amiri, A., Cui, T., Ouyang, Y. & Shen, Z.J.M. (2010). Reliable facility location design
under the risk of disruptions. Operations Research, 58 (4), 998-1011.
Daskin, M. S. & Coullard, C. R. (2002). An inventory-location model: Formulation, solution
algorithm and computational results. Annals of Operations Research, 110, 83-106.
Drezner, Z. (1987). Heuristic solution methods for two location problems with unreliable facilities.
Journal of the Operational Research Society, 38, (6), 509–514.
Gharegozloo, S., Jabalameli, M.S., & Bozorgi-Amiri, A. (2013). A location-inventory model for
distribution centers in a three-level supply chain under uncertainty. International Journal of
Industrial Engineering Computations, 4(1).
Lee, S. D. (2001). On solving unreliable planar location problems. Computers and Operations
Research, 28(4), 329-344.
Li, X., & Ouyang, Y. (2010). A continuum approximation approach to reliable facility location
design under correlated probabilistic disruptions. Transportation Research Part B:
Methodological, 44(4), 535–548.
Lim, M., Daskin, M. S., Bassamboo, A., & Chopra, S. (2010). A Facility Reliability Problem:
Formulation, Properties, and Algorithm. Naval Research Logistics, 57(1), 58–70
Miranda, P. A. & R. A. Garrido (2004). Incorporating inventory control decisions into a strategic
distribution network design model with stochastic demand. Transportation Research Part E, 40,
183–207.
Ozsen, L. & C. R. Coullard. (2008). Capacitated warehouse location model with risk pooling. Naval
Research Logistics, 55(4), 295-312.
Park, S., Lee, T. & Sung, C.S. (2010). A three-level supply chain network design model with riskpooling
and lead times. Transportation Research Part E, 46, 563–581.
Peng P., Snyder , L., Lim, & Liu. (2011). Reliable logistics networks design with facility disruptions.
Transportation Research, 45(8), 1190–1211.
Qi, L., Shen, Z.-J., & Snyder, L. V. (2010). The effect of supply disruptions on supply chain design
decisions. Transportation Science, 44(2), 274–289.
Shen, Z.J.M., Coullard, C. & Daskin, M.S. (2003). A joint location-inventory model. Transportation
Science, 37, 40-55.
Shu, J. & Teo, C. (2005). Stochastic transportation inventory network design problem. Operational
Research, 53(1), 48-60.
Snyder, L.V. (2003). Supply chain robustness and reliability: Models and algorithms. Ph.D.
dissertation, Northwestern University, Department of Industrial Engineering & Management
Sciences, Evanston, IL.
Snyder, L. V., & Daskin, M. S. (2005). Reliability models for facility location: The expected failure
cost case. Transportation Science, 39 (3), 400–416.
Snyder, L. V., Scaparra, P. M., Daskin, M. S., & Church R.L. (2006). Planning for disruptions in
supply chain networks. In Tutorials in Operations Research, INFORMS, 234–257.
Snyder, L. V., Daskin, M. S. & Teo, C. (2007). The stochastic location model with risk pooling.
European Journal of Operational Research, 179(3), 1221-1238.
Snyder, L. V., Atan, Z., Peng, P., Rong, Y., Schmitt, A. & Sinsoysal, B. (2010). OR/MS models for
supply chain disruptions: A review. Social Science Research Network, Working papers series.
Zegordi, S.H., & Davarzani, H. (2012). Developing a supply chain disruption analysis model:
application of colored Petri-nets. Expert Systems with Applications, 39, (2), 2102–2111
with random disruptions. Proceedings of the International Conference on Computers & Industrial
Engineering, 39, 687-703.
Azad, N., & Davoudpour, H. (2011). Stochastic distribution network design with reliability,
consideration Journal of Zhejiang University-SCIENCE C (Computers & Electronics). in press,
doi:10.1631/jzus.C11a0087.
Azad, N., Saharidis, G. K.D., Davoudpour, H., Malekly, H. & Yektamaram, S.A. (2012) Strategies
for protecting supply chain networks against facility and transportation disruptions: an improved
Benders decomposition approach. Springer Science Business Media, Annual Operation research,
DOI 10.1007/s10479-012-1146-x.
Azaron, A., Brown, K. N., Tarim, S.A., & Modarres, M. (2008). A multi-objective stochastic
programming approach for supply chain design considering risk. International Journal of
Production Economics, 116, 129-138.
Bérubé, J. F., Gendreau, M. & Potvin, J.Y. (2009). An exact ?-constraint method for bi-objective
combinatorial optimization problems: Application to the traveling salesman problem with profits.
European Journal of Operational Research, 194, 39-50.
Berman, O., Krass, D., & Menezes, M. B. C. (2007). Facility reliability issues in network p-median
problems: Strategic centralization and co-location effects. Operations Research, 55 (2), 332-350.
Berman, O., Krass, D., & Meneze, M. B. C. (2009). Location facilities in the presence of disruptions
and information. Decision Science, 40, 845-868.
Bozorgi Atoei, F., Teimory, E., Bozorgi-Amiri, A. (2013). Designing reliable supply chain network
with disruption risk. International Journal of Industrial Engineering Computations. 4(1).
Bozorgi Amiri, A., Cui, T., Ouyang, Y. & Shen, Z.J.M. (2010). Reliable facility location design
under the risk of disruptions. Operations Research, 58 (4), 998-1011.
Daskin, M. S. & Coullard, C. R. (2002). An inventory-location model: Formulation, solution
algorithm and computational results. Annals of Operations Research, 110, 83-106.
Drezner, Z. (1987). Heuristic solution methods for two location problems with unreliable facilities.
Journal of the Operational Research Society, 38, (6), 509–514.
Gharegozloo, S., Jabalameli, M.S., & Bozorgi-Amiri, A. (2013). A location-inventory model for
distribution centers in a three-level supply chain under uncertainty. International Journal of
Industrial Engineering Computations, 4(1).
Lee, S. D. (2001). On solving unreliable planar location problems. Computers and Operations
Research, 28(4), 329-344.
Li, X., & Ouyang, Y. (2010). A continuum approximation approach to reliable facility location
design under correlated probabilistic disruptions. Transportation Research Part B:
Methodological, 44(4), 535–548.
Lim, M., Daskin, M. S., Bassamboo, A., & Chopra, S. (2010). A Facility Reliability Problem:
Formulation, Properties, and Algorithm. Naval Research Logistics, 57(1), 58–70
Miranda, P. A. & R. A. Garrido (2004). Incorporating inventory control decisions into a strategic
distribution network design model with stochastic demand. Transportation Research Part E, 40,
183–207.
Ozsen, L. & C. R. Coullard. (2008). Capacitated warehouse location model with risk pooling. Naval
Research Logistics, 55(4), 295-312.
Park, S., Lee, T. & Sung, C.S. (2010). A three-level supply chain network design model with riskpooling
and lead times. Transportation Research Part E, 46, 563–581.
Peng P., Snyder , L., Lim, & Liu. (2011). Reliable logistics networks design with facility disruptions.
Transportation Research, 45(8), 1190–1211.
Qi, L., Shen, Z.-J., & Snyder, L. V. (2010). The effect of supply disruptions on supply chain design
decisions. Transportation Science, 44(2), 274–289.
Shen, Z.J.M., Coullard, C. & Daskin, M.S. (2003). A joint location-inventory model. Transportation
Science, 37, 40-55.
Shu, J. & Teo, C. (2005). Stochastic transportation inventory network design problem. Operational
Research, 53(1), 48-60.
Snyder, L.V. (2003). Supply chain robustness and reliability: Models and algorithms. Ph.D.
dissertation, Northwestern University, Department of Industrial Engineering & Management
Sciences, Evanston, IL.
Snyder, L. V., & Daskin, M. S. (2005). Reliability models for facility location: The expected failure
cost case. Transportation Science, 39 (3), 400–416.
Snyder, L. V., Scaparra, P. M., Daskin, M. S., & Church R.L. (2006). Planning for disruptions in
supply chain networks. In Tutorials in Operations Research, INFORMS, 234–257.
Snyder, L. V., Daskin, M. S. & Teo, C. (2007). The stochastic location model with risk pooling.
European Journal of Operational Research, 179(3), 1221-1238.
Snyder, L. V., Atan, Z., Peng, P., Rong, Y., Schmitt, A. & Sinsoysal, B. (2010). OR/MS models for
supply chain disruptions: A review. Social Science Research Network, Working papers series.
Zegordi, S.H., & Davarzani, H. (2012). Developing a supply chain disruption analysis model:
application of colored Petri-nets. Expert Systems with Applications, 39, (2), 2102–2111