Al-Sobhi, S.A., Elkamel, A.,(2015). Simulation and optimization of natural gas processing and production network consisting of LNG, GTL, and methanol facilities, Journal of Natural Gas Science and Engineering, Vol. 23(2), pp. 500–508.
Azadeh, A., Raoofi, Z., Zarrin, M., (2015). A multi-objective fuzzy linear programming model for optimization of natural gas supply chain through a greenhouse gas reduction. Journal of Natural Gas Science and Engineering, Vol. 26, pp.702–710.
Azadeh, A., Shabanpour, N., Soltanpour Gharibdousti, M., Nasirian, B., (2016). Optimization of supply chain based on macro ergonomics criteria: A case study in gas transmission unit. Journal of Loss Prevention in the Process Industries, Vol. 43, pp. 332-351.
Azevedo, S. G., Carvalho, H., Machado, V.C., (2016)."LARG index" A benchmarking tool for improving the leanness, agility, resilience and greenness of the automotive supply chain, Benchmarking. An International Journal, Vol. 23(6), pp. 1472 – 1499.
Baroud, H., Barker, K., Ramirez-Marquez, J.E., Rocco, S.C.M., (2014a) Importance measures for inland waterway network resilience. Transp. Res. Part E: Logist. Transp. Rev, Vol. 62, pp. 55–67.
Baroud, H., Barker, K., Ramirez-Marquez, J.E., Rocco, C.M., (2015). Inherent costs and interdependent impacts of infrastructure network resilience. Risk Anal, Vol. 35, pp. 642–662.
Baroud, H., Ramirez-Marquez, J.E., Barker, K., Rocco, C.M., (2014b ). Stochastic measures of network resilience: applications to waterway commodity flows. Risk Anal, Vol. 34, pp. 1317–1335.
Boukherroub, T., Ruiz, A., Guinet, A., Fondrevelle, J., (2015). An integrated approach for sustainable supply chain planning. Comput. Oper. Res, Vol. 54, pp. 180–194.
Brandenburg, M., Govindan, K., Sarkis, J., Seuring, S., (2014). Quantitative models for sustainable supply chain management: developments and directions. Eur. J. Oper. Res, Vol. 233(2), pp. 299–312.
Brandenburg, M., (2015). Low carbon supply chain configuration for a new product – a goal programming approach, International Journal of Production Research, Vol. 53(21), pp. 6588-6610.
Carvalho, H., Duarte, S., Machado, C., (2011). Lean, agile, resilient and green: divergencies and synergies. International Journal of Lean Six Sigma, Vol. 2(2), P.151-179.
Cetinkaya, B., Cuthbertson, R., Ewer, G., Klaas-Wissing, T., Piotrowicz, W., Tyssen, C., (2011). Sustainable Supply Chain Management: Practical Ideas for Moving Towards Best Practice, New York: Springer,
Chaabane, A., Ramudhin, A., Paquet, M., (2011). Designing supply chains with sustainability considerations. Prod. Plan. Control, Vol. 22, pp. 727–741.
Chaabane, A., Ramudhin, A., Paquet, M., (2012). Design of sustainable supply chains under the emission trading scheme. Int. J. Prod. Econ, Vol. 135(1), pp. 37–49.
Chen, Q., Li, X., Ouyang, Y., (2011). Joint inventory-location problem under the risk of probabilistic facility disruptions. Transp. Res. Part B: Methodol, Vol. 45(7), pp. 991–1003.
Cui, T., Ouyang, Y., Shen, Z.J.M., (2010). Reliable facility location design under the risk of disruptions, Oper.Res, Vol.58, pp. 998–1011.
Derissen, S., Quaas, M.F., Baumgartner, S., (2011).The relationship between resilience and sustainability of ecological-economic systems. Ecol. Econ, Vol.70, pp. 1121–1128.
Diabat, A., Abdallah, T., Al-Refaie, A., Svetinovic, D., Govindan, K., (2013). Strategic closed-loop facility location problem with carbon market trading. IEEE Trans. Eng. Manage, Vol.60(2), pp. 398–408.
Doaei, M., Davarpanah, S.H., Zamani Sabzi, M., (2017). ANN-DEA approach of corporate diversification and efficiency in bursa Malaysia. Advances in Mathematical Finance & Applications, Vol. 2(1), pp. 9-20.
Dos Santos, S.P., Leal, J.E., Oliveira, F., (2011). The development of a natural gas transportation logistics management system. Energy Policy, Vol.39(9), pp. 4774–4784.
Edgeman, R., Wu, Z., (2016). Supply Chain Criticality in Sustainable and Resilient Enterprises. Journal of Modelling in Management, Vol.11(4), pp. 869-888.
Elhedhli, S., Merrick, R., (2012). Green supply chain network design to reduce carbon emissions. Transp. Res. Part D: Transp. Environ, Vol.17(5), pp. 370–379.
Esfandiar, M., Saremi, M., Jahangiri Nia, H., (2018) Assessment of the Efficiency of Banks Accepted in Tehran Stock Exchange Using the Data Envelopment Analysis Technique. Advances in Mathematical Finance & Applications, Vol.3(2), pp. 1-11.
Esmaeilikia, M., Fahimnia, B., Sarkis, J., Govindan, K., Kumar, A., Mo, J., (2014a). A tactical supply chain planning model with multiple flexibility options: an empirical evaluation. Ann. Oper. Res, Vol. 244(2), pp. 429–454.
Esmaeilikia, M., Fahimnia, B., Sarkis, J., Govindan, K., Kumar, A., Mo, J., (2014b). Tactical supply chain planning models with inherent flexibility: definition and review. Ann. Oper. Res
, Vol. 244(2
), pp. 407–427.
Fahimnia, B., Jabbarzadeh, A., (2016). Marrying supply chain sustainability and resilience: A match made in heaven. Transportation Research Part E, Vol. 91, pp. 306–324.
Fahimnia, B., Reisi, M., Paksoy, T., Ozceylan, E.,(2013a). The implications of carbon pricing in Australia: an industrial logistics planning case study, Transp. Res. Part D: Transp. Environ, Vol. 18, pp.78–85.
Fahimnia, B., Sarkis, J., Choudhary, A., Eshragh, A., (2014a). Tactical supply chain planning under a carbon tax policy scheme: a case study. Int. J. Prod. Econ, Vol. 164, pp. 206–215.
Fahimnia, B., Sarkis, J., Davarzani, H., (2015a) Green supply chain management: a review and bibliometric analysis. Int. J. Prod. Econ, Vol.162, pp. 101–114.
Fahimnia, B., Sarkis, J., Dehghanian, F., Banihashemi, N., Rahman, S., (2013b). The impact of carbon pricing on a closed-loop supply chain: An Australian case study. J. Cleaner Prod, Vol.59, pp. 210–225.
Fahimnia, B., Sarkis, J., Eshragh, A., (2015). A trade-off model for green supply chain planning: a leanness-versus-greenness analysis. OMEGA, Vol.54, pp. 173–190.
Fahimnia, B., Tang, C., Davarzani, H., Sarkis, J., (2015b). Quantitative models for managing supply chain risks: a review. Eur. J. Oper. Res, Vol. 247(1), pp. 1–15.
Garcia-Herreros, P., Wassick, J.M., Grossmann, I.E., (2014). Design of resilient supply chains with risk of facility disruptions. Ind. Eng. Chem. Res, Vol.53(44), pp. 17240–17251.
Ghaithan, A.M., Attia, A., Duffuaa, S.O., (2017). Multi-objective optimization model for a downstream oil and gas supply chain. Applied Mathematical Modelling, Vol. 52, pp. 689–708.
Gohari Bahabadi, M., Ahmadi, M., Bazzi, A., (2017). Decision making for choosing the optimum production scenario for a sector model of South Pars gas field based on single well model. Journal of Natural Gas Science & Engineering, Vol.46, pp. 563–574.
Hamedi, M., Farahani, R.Z., Husseini, M.M., Esmaeilian, G.R., (2009). A distribution-planning model for natural gas supply chain: A case study. Energy Policy, Vol. 37(3), pp. 799–812.
Hanke, T., Krumme, K.,(2012). Riskand resilience in sustainable supply chain management – conceptual outlines. International Logistics and Supply Chain Congress, November 08-09, Istanbul, Turkey.
Hawker, Norman W., Edmonds, Thomas N., (2015). Avoiding the Efficiency Trap: Resilience, Sustainability, and Antitrust. The Antitrust Bulletin, Vol. 60(3), pp. 208-220.
Hernandez, I., Emmanuel Ramirez-Marquez, J., Rainwater, C., Pohl, E., Medal, H., (2014). Robust facility location: hedging against failures. Reliab. Eng. Syst.Safety, Vol. 123, pp. 73–80.
Hwang, C. L., Masud, A.S.M. ( 2012). Multiple Objective Decision Making—Methods and Applications: A State-of-the-Art Survey, 164, Springer Science & Business Media,.
Ivanov, D., (2018). Revealing interfaces of supply chain resilience and sustainability: a simulation study. International Journal of Production Research, Vol.56(10), pp. 3507-3523.
Jabbarzadeh, A., Jalali Naini, S.G., Davoudpour, H., Azad, N., (2012). Designing a supply chain network under the risk of disruptions. Math. Probl. Eng, pp. 1–23.
Jamshidi, R., Ghomi, S.F., Karimi, B., (2012). Multi-objective green supply chain optimization with a new hybrid memetic algorithm using the Taguchi method. Sci. Iran, Vol.19(6), pp. 1876–1886.
Janatyan, N., Zandieh, M., Alem-Tabriz, A., Rabieh, M., (2018). Designing sustainable distribution network in pharmaceutical supply chain: A case study.International Journal of Supply and Operations Management, Vol. 5 (2), pp. 122-133.
Karbassi Yazdi, A., Kaviani, M.A., Emrouznejad, A., Sahebi, H., (2019). A binary particle swarm optimization algorithm for ship routing and scheduling of liquefied natural gas transportation. Transportation Letters,
Li, Q., Zeng, B., Savachkin, A., (2013). Reliable facility location design under disruptions. Comput. Oper. Res, Vol.40(4), pp. 901–909.
Losada, C., Scaparra, M.P., O’Hanley, J.R., (2012). Optimizing system resilience: a facility protection model with recovery time. Eur. J. Oper. Res, Vol. 217(3), pp. 519–530.
Madadi, A., Kurz, M.E., Taaffe, K.M., Sharp, J.L., Mason, S.J., (2014). Supply network design: risk-averse or risk-neutral? Comput. Ind. Eng, Vol. 78, pp. 55–65.
Mahdavi, I., Mahdavi-Amiri, N., Makui, A., Mohajeri, A., Tafazzoli, R., (2010). Optimal gas distribution network using minimum spanning tree. In: Proceedings of 2010 IEEE the 17th International Conference on Industrial Engineering and Engineering Management, Vol.2. pp. 1374-1377.
Mahmoud Said, Y.E., (2019). The Effect of Green Supply Chain Practices on Operational Performance: Bench-marking between Shell and Co-operation Petroleum Company in Egypt. International Journal of Supply and Operations Management, Vol. 6(1), pp. 51-56.
Mavrotas, G., Florios, K., (2013). An Improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact Pareto set in multi-objective integer programming problems. Appl. Math. Comput, Vol.219(18), pp. 9652–9669.
Medal, H.R., Pohl, E.A., Rossetti, M.D., (2014). A multi-objective integrated facility location-hardening model: analyzing the pre- and post-disruption tradeoff. Eur. J. Oper. Res, Vol.237(1), pp. 257–270.
Murino, T., Romano, E., Santillo, Liberatina C., Supply chain performance sustainability through resilience function. Proceedings of the 2011 Winter Simulation Conference S. Jain, R.R. Creasey, J. Himmelspach, K.P. White, and M. Fu, eds.
Nikbakht, M., Zulkifli, N., Ismail, N., Sulaiman, S., Sadrnia, A., Suleiman, M., (2012). Multi-level Supply chain design in natural Gas industry. World Applied Sciences Journal, Vol. 20(1), pp. 54–63.
O’Hanley, J.R., Scaparra, M.P., García, S., (2013). Probability chains: a general linearization technique for modeling reliability in facility location and related problems. Eur. J. Oper. Res, Vol.230(1), pp. 63–75.
Pambour, K.A., Bolado-Lavin, R., Dijkema, G.P.J., (2016). An integrated transient Model for simulating the Operation of Natural Gas Transport Systems. Journal of Natural Gas Science & Engineering, Vol.28, pp. 672-690.
Pant, R., Barker, K., Ramirez-Marquez, J.E., Rocco, C.M., (2014). Stochastic measures of resilience and their application to container terminals. Comput. Ind. Eng, Vol.70, pp. 183–194.
Papadopoulos, T., Gunasekaran, A., Dubey, R., Altay, N., Childe, SJ., FossoWamba, S., (2017). The role of Big Data in explaining disaster resilience in supply chains for sustainability, Journal of Cleaner Production, Vol.142, pp. 1108-1118.
Pavlov, A., Ivanov, D., Pavlov, D., Slinko, A., (2019). Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics, Annals of Operations Research, pp. 1-30.
Pettit, T.J., Fiksel, J., Croxton, K.L., (2010). Ensuring supply chain resilience: development of a conceptual framework. J. Bus. Logist, Vol.31(1), pp. 1–21.
Pfohl, HC., Kohler, H., Thomas, D., (2010). State of the art in supply chain risk management research: Empirical and conceptual findings and a roadmap for the implementation in practice. Logistics Research, Vol.2(1), pp. 33–44.
Pinto-Varela, T., Barbosa-Povoa, A.P.F.D., Novais, A.Q., (2011). Bi-objective optimization approach to the design and planning of supply chains: Economic versus environmental performances. Comput. Chem. Eng, Vol.35(8), pp. 1454–1468.
Pishvaee, M.S., Razmi, J., (2012). Environmental supply chain network design using multi-objective fuzzy mathematical programming. Appl. Math. Model, Vol.36(8), pp. 3433–3446.
Razmi, J., Babazadeh, R., Kaviani, M.A., (2018). Optimisation of dynamic hydrogen supply chain network: a mathematical programming approach. International Journal of Applied Management Science, Vol. 10(3), pp. 192-216.
Redman, C.L., (2014). Shouldsustainability and resilience be combined or remain distinct pursuits?. Ecology and Society, Vol.19(2), pp. 37.
Reyes Levalle, R., Nof, S.Y., (2015). Resilience by teaming in supply network formation and re-configuration. Int. J. Prod. Econ, Vol.160, pp. 80–93.
Rostamzadeh, R., Keshavarz Ghorabaee, M., Govindan, K., Esmaeili, A., Bodaghi Khajeh Nobar, H., (2018). Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS- CRITIC approach, Journal of Cleaner Production, Vol.175, pp. 651–669.
Sabouhi, F., Pishvaee, M.S., Jabalameli, M.S., (2018). Resilient supply chain design under operational and disruption risks considering quantity discount: A case study of pharmaceutical supply chain. Computers & Industrial Engineering, Vol. 126, pp. 657-672.
Santibanez-Gonzalez, E.D.R., Mateus, G.R., Luna, H.P., (2011). Solving a public sector sustainable supply chain problem: a genetic algorithm approach. In: Proc. Of Int. Conf. of Artificial Intelligence (ICAI), Las Vegas, USA, pp. 507–512.
Sapkota, K., Oni, A.O., Kumar, A., (2018). Techno-economic and life cycle assessments of the natural gas supply chain from production sites in Canada to north and southwest Europe. Journal of Natural Gas Science & Engineering, Vol.52, pp. 401–409.
Sawik, T., (2011). Selection of supply portfolio under disruption risks, Omega, Vol.39(2), pp. 194–208.
Sawik, T., (2013a). Integrated selection of suppliers and scheduling of customer orders in the presence of supply chain disruption risks. Int. J. Prod. Res, Vol.51, pp. 7006–7022.
Sawik, T., (2013b). Selection of resilient supply portfolio under disruption risks. Omega, Vol.41(2), pp. 259–269.
Sawik, T., (2014a ). Joint supplier selection and scheduling of customer orders under disruption risks: single vs. dual sourcing. Omega, Vol.43, pp. 83–95.
Sawik, T., (2014b). Optimization of cost and service level in the presence of supply chain disruption risks: single vs. multiple sourcing. Comput. Oper. Res, Vol.51, pp. 11–20.
Sawik, T., (2015). Onthe risk-averse optimization of service level in a supply chain under disruption risks. Int. J. Prod. Res, Vol.54(1), pp. 1–16.
Seuring, S., (2013). A review of modeling approaches for sustainable supply chain management. Decis. Support Syst, Vol.54(4), pp. 1513–1520.
Tabkhi, F., Pibouleau, L., Azzaro-Pantel, C., Domenech, S., (2009). Total cost minimization of a high-pressure natural gas network. J. Energy Resour. Technol, Vol.131(4), 043002.
Tang, C.S., Zhou, S., (2012). Research advances in environmentally and socially sustainable operations, Eur. J. Oper. Res, Vol.223(3), pp. 585–594.
Tiwari, R.N., Dharmar, S., Rao, J.R., (1987). Fuzzy goal programming - an additive model. Fuzzy Sets Syst, Vol. 24, pp. 27–34.
Touil, A., Echchatbi, A., Charkaoui, A.,(2019). Integrated production and distribution in a milk supply chain under uncertainty with the Hurwicz criterion.International Journal of Supply and Operations Management,Vol. 6(1), pp. 30-50.
Vance, L., Heckl, I., Bertok, B., Cabezas, H., Friedler, F., (2015). Designing sustainable energy supply chains by the P-graph method for minimal cost, environmental burden, energy resources input. Journal of Cleaner Production, Vol.94, pp. 144–154.
Varsei, M., Soosay, C., Fahimnia, B., Sarkis, J., (2014). Framing sustainability performance of supply chains with multidimensional indicators. Supply Chain Manage.: Int. J, Vol.19(3), pp. 242–257.
Wang, F., Lai, X., Shi, N., (2011). A multi-objective optimization for green supply chain network design. Decis. Support Syst, Vol.51(2), pp. 262–269.
Zahiri, B., Zhuang, J., Mohammadi, M., (2017). Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study. Transportation Research Part E: Logistics and Transportation Review, Vol.103, pp. 109–142.
Zakeri, A., Dehghanian, F., Fahimnia, B., Sarkis, J., (2015). Carbon pricing versus emissions trading: a supply chain planning perspective. Int. J. Prod. Econ, Vol.164, pp. 197–205.
Zamanian, M.R., Sadeh, E., Amini Sabegh, Z., Ehtesham Rasi, R., (2019). A Fuzzy goal-programming model for optimization of sustainable supply chain by focusing on the environmental and economic costs and revenue: A case study. Advances in Mathematical Finance & Applications, Vol.4(1), pp. 103-123.
Zhang, Q., Shah, N., Wassick, J., Helling, R., van Egerschot, P., (2014). Sustainable supply chain optimization: an industrial case study. Comput. Ind. Eng, Vol.74, pp. 68–83.