Ahmadi-Javid, A. and A. H. Seddighi (2013). A location-routing problem with disruption risk. Transportation Research Part E: Logistics and Transportation Review 53: 63-82.
Amin, S. H. and G. Zhang (2013). A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return. Applied Mathematical Modelling 37(6): 4165-4176.
Azad, N. and H. Davoudpour (2013). Designing a stochastic distribution network model under risk. The International Journal of Advanced Manufacturing Technology: 1-18.
Azad, N., H. Davoudpour, G. K. Saharidis and M. Shiripour (2014). A new model to mitigating random disruption risks of facility and transportation in supply chain network design. The International Journal of Advanced Manufacturing Technology 70(9-12): 1757-1774.
Babazadeh, R., R. Tavakkoli-Moghaddam and J. Razmi (2012). A complex design of the integrated forward-reverse logistics network under uncertainty.
Chen, Q., X. Li and Y. Ouyang (2011). Joint inventory-location problem under the risk of probabilistic facility disruptions. Transportation Research Part B: Methodological 45(7): 991-1003.
Dehghani, E., M. S. Jabalameli and A. Jabbarzadeh (2018). Robust design and optimization of solar photovoltaic supply chain in an uncertain environment. Energy 142: 139-156.
Drezner, Z. (1987). Heuristic solution methods for two location problems with unreliable facilities. Journal of the Operational Research Society 38(6): 509-514.
Esmaeilikia, M., B. Fahimnia, J. Sarkis, K. Govindan, A. Kumar and J. Mo (2016). A tactical supply chain planning model with multiple flexibility options: an empirical evaluation. Annals of Operations Research 244(2): 429-454.
Fleischmann, M., P. Beullens, J. M. BLOEMHOF‐RUWAARD and L. N. Wassenhove (2001). The impact of product recovery on logistics network design. Production and operations management 10(2): 156-173.
Ghavamifar, A. and F. Sabouhi (2018). An integrated model for designing a distribution network of products under facility and transportation link disruptions. Journal of Industrial and Systems Engineering 11(1): 0-0.
Ghomi-Avili, M., S. G. J. Naeini, R. Tavakkoli-Moghaddam and A. Jabbarzadeh (2018). A fuzzy pricing model for a green competitive closed-loop supply chain network design in the presence of disruptions. Journal of Cleaner Production 188: 425-442.
Ghomi-Avili, M., R. Tavakkoli-Moghaddam, G. Jalali and A. Jabbarzadeh (2017). A network design model for a resilient closed-loop supply chain with lateral transshipment. International Journal of Engineering-Transactions C: Aspects 30(3): 374-383.
Govindan, K. and M. Fattahi (2017). Investigating risk and robustness measures for supply chain network design under demand uncertainty: A case study of glass supply chain. International Journal of Production Economics 183: 680-699.
Grossmann, I. E. and C. A. Floudas (1987). Active constraint strategy for flexibility analysis in chemical processes. Computers & Chemical Engineering 11(6): 675-693.
Hatefi, S. M., F. Jolai, S. A. Torabi and R. Tavakkoli-Moghaddam (2015). A credibility-constrained programming for reliable forward–reverse logistics network design under uncertainty and facility disruptions. International Journal of Computer Integrated Manufacturing 28(6): 664-678.
Jabbarzadeh, A., B. Fahimnia and S. Rastegar (2017). Green and Resilient Design of Electricity Supply Chain Networks: A Multiobjective Robust Optimization Approach. IEEE Transactions on Engineering Management(99): 1-21.
Jabbarzadeh, A., B. Fahimnia and J.-B. Sheu (2017). An enhanced robustness approach for managing supply and demand uncertainties. International Journal of Production Economics 183: 620-631.
Jabbarzadeh, A., M. Haughton and A. Khosrojerdi (2018). Closed-loop supply chain network design under disruption risks: A robust approach with real world application. Computers & Industrial Engineering 116: 178-191.
Javid, A. A. and N. Azad (2010). Incorporating location, routing and inventory decisions in supply chain network design. Transportation Research Part E: Logistics and Transportation Review 46(5): 582-597.
Khosrojerdi, A., E. Teimoury and A. Jabbarzedeh (2016). Design of 7× 24 logistics system for hazardous materials (case study: distribution of gasoline). Journal of Industrial and Systems Engineering 9(4): 47-64.
Khosrojerdi, A., S. H. Zegordi, J. K. Allen and F. Mistree (2016). A method for designing power supply chain networks accounting for failure scenarios and preventive maintenance. Engineering Optimization 48(1): 154-172.
Kolodziej, S., P. M. Castro and I. E. Grossmann (2013). Global optimization of bilinear programs with a multiparametric disaggregation technique. Journal of Global Optimization 57(4): 1039.
Li, J., S. Wang and T. E. Cheng (2010). Competition and cooperation in a single-retailer two-supplier supply chain with supply disruption. International Journal of Production Economics 124(1): 137-150.
McCormick, G. P. (1976). Computability of global solutions to factorable nonconvex programs: Part I—Convex underestimating problems. Mathematical programming 10(1): 147-175.
Naderi, M. J. and M. S. Pishvaee (2017). A stochastic programming approach to integrated water supply and wastewater collection network design problem. Computers & Chemical Engineering 104: 107-127.
O’Hanley, J. R., P. Scaparra, S. García and d. M. Carlos III (2012). A general linearization technique for modeling reliability in facility location: Applications to problems with site-dependent failure probabilities.
Pishvaee, M. S. and S. A. Torabi (2010). A possibilistic programming approach for closed-loop supply chain network design under uncertainty. Fuzzy sets and systems 161(20): 2668-2683.
Qi, L., Z.-J. M. Shen and L. V. Snyder (2010). The effect of supply disruptions on supply chain design decisions. Transportation Science 44(2): 274-289.
Ramezani, M., A. M. Kimiagari, B. Karimi and T. H. Hejazi (2014). Closed-loop supply chain network design under a fuzzy environment. Knowledge-Based Systems 59: 108-120.
Rashid, R., A. Bozorgi-Amiri and S. Seyedhoseini (2015). Developing a new stochastic competitive model regarding inventory and price. Journal of Industrial Engineering International 11(3): 309-318.
Rockafellar, R. T. and S. Uryasev (2000). Optimization of conditional value-at-risk. Journal of risk 2: 21-42.
Rockafellar, R. T. and S. Uryasev (2002). Conditional value-at-risk for general loss distributions. Journal of banking & finance 26(7): 1443-1471.
Salema, M. I. G., A. P. Barbosa-Povoa and A. Q. Novais (2007). An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty. European Journal of Operational Research 179(3): 1063-1077.
Sayarshad, H. R., N. Javadian, R. Tavakkoli-Moghaddam and N. Forghani (2010). Solving multi-objective optimization formulation for fleet planning in a railway industry. Annals of Operations Research 181(1): 185-197.
Schmitt, A. J., S. A. Sun, L. V. Snyder and Z.-J. M. Shen (2015). Centralization versus decentralization: Risk pooling, risk diversification, and supply chain disruptions. Omega 52: 201-212.
Sinha, S. and S. Sinha (2002). KKT transformation approach for multi-objective multi-level linear programming problems. European Journal of Operational Research 143(1): 19-31.
Sun, H., Z. Gao and J. Wu (2008). A bi-level programming model and solution algorithm for the location of logistics distribution centers. Applied mathematical modelling 32(4): 610-616.
Vidal, C. J. and M. Goetschalckx (2001). A global supply chain model with transfer pricing and transportation cost allocation. European Journal of Operational Research 129(1): 134-158.
Wang, H. (2013). Increasing supply chain robustness through process flexibility and strategic inventory, Massachusetts Institute of Technology.
Yadegari, E., H. Najmi, M. Ghomi-Avili and M. Zandieh (2015). A flexible integrated forward/reverse logistics model with random path-based memetic algorithm. Iranian Journal of Management Studies 8(2): 287.