References:
1. Amirtaheri, O., Zandieh, M., and Dorri, B. A bi-level programming model for decentralized manufacturerdistributer supply chain considering cooperative advertising", Scientia Iranica, 25(2), pp. 891{910 (2018). 2. GolpIra, H., Zandieh, M., Najafi, E., and Sadi-Nezhad, S. A multi-objective multi-echelon green supply chain network design problem with risk-averse retailers in an uncertain environment", Scientia Iranica, Transaction E, Industrial Engineering, 24(1), pp. 413{423 (2017). 3. Sahebjamnia, N., Tavakkoli-Moghaddam, R., and Ghorbani, N. Designing a fuzzy Q-learning multiagent quality control system for a continuous chemical production line-A case study", Computers & Industrial Engineering, 93, pp. 215{226 (2016).4. Jafari, H.R., Seifbarghy, M., and Omidvari, M. Sustainable supply chain design with water environmental impacts and justice-oriented employment considerations: A case study in textile industry", Scientia Iranica, 24(4). pp. 2119{2137 (2017). 5. Rao, C.J., Zheng, J.J., Hu, Z., and Goh, M., Compound mechanism design on multi-attribute and multisource procurement of electricity coal", Scientia Iranica, 23(3), pp. 1384{1398 (2016). 6. Torkaman, S., Ghomi, S.F., and Karimi, B. Multistage multi-product multi-period production planning with sequence-dependent setups in closed-loop supply chain", Computers & Industrial Engineering, 113, pp. 602{613 (2017). 7. Bashiri, M. and Hasanzadeh, H. Modeling of locationdistribution considering customers with different priorities by a lexicographic approach", Scientia Iranica, 23(2), pp. 701{710 (2016). 8. Hlioui, R., Gharbi, A., and Hajji, A. Joint supplier selection, production and replenishment of an unreliable manufacturing-oriented supply chain", International Journal of Production Economics, 187, pp. 53{67 (2017).9.
Mahdavi, I., Shirazi, B., and Sahebjamnia, N. Development of a simulation-based optimisation for controlling operation allocation and material handling equipment selection in FMS", International Journal of Production Research, 49(23), pp. 6981{7005 (2011). 10. Gharaei, A., Pasandideh, S.H.R., and Akhavan Niaki, S.T. An optimal integrated lot sizing policy of inventory in a bi-objective multi-level supply chain with stochastic constraints and imperfect products", Journal of Industrial and Production Engineering, 35(1), pp. 6{20 (2018). 11. Alfares, H.K. and Turnadi, R. Lot sizing and supplier selection with multiple items, multiple periods, quantity discounts, and backordering", Computers & Industrial Engineering, 116, pp. 59{71 (2018). 12. Sahebjamnia, N., Torabi, S.A., and Mansouri, S.A. Building organizational resilience in the face of multiple disruptions", International Journal of Production Economics, 197, pp. 63{83 (2018). 13. Scheibe, K.P. and Blackhurst, J. Supply chain disruption propagation: a systemic risk and normal accident theory perspective", International Journal of Production Research, 56(1{2), pp. 43{59 (2018). 14. Aissaoui, N., Haouari, M., and Hassini, E. Supplier selection and order lot sizing modeling: A review", Computers & Operations Research, 34(12), pp. 3516{ 3540 (2007). 15. Hajikhani, A., Khalilzadeh, M., and Sadjadi, S.J. A fuzzy multi-objective multi-product supplier selection and order allocation problem in supply chain under coverage and price considerations: An urban agricultural case study", Scientia Iranica, 25(1), pp. 431{449 (2018). 16. Govindan, K., Rajendran, S., Sarkis, J., and Murugesan, P. Multi criteria decision making approaches for green supplier evaluation and selection: a literature review", Journal of Cleaner Production, 98, pp. 66{83 (2015). 17. Babbar, C. and Amin, S.H. A multi-objective mathematical model integrating environmental concerns for supplier selection and order allocation based on fuzzy QFD in beverages industry", Expert Systems with Applications, 92, pp. 27{38 (2018). 18. Fallahpour, A., Olugu, E.U., and Musa, S.N. A hybrid model for supplier selection: integration of AHP and N. Sahebjamnia/Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 411{426 423 multi expression programming (MEP)", Neural Computing and Applications, 28(3), pp. 499{504 (2017). 19. Hammami, R., Temponi, C., and Frein, Y. A scenario-based stochastic model for supplier selection in global context with multiple buyers, currency uctuation uncertainties, and price discounts", European Journal of Operational Research, 233(1), pp. 159{170 (2014). 20. Goren, H.G. A decision framework for sustainable supplier selection and order allocation with lost sales", Journal of Cleaner Production, 183, pp. 1156{1169 (2018). 21. Chai, J., Liu, J.N., and Ngai, E.W. Application of decision-making techniques in supplier selection: A systematic review of literature", Expert Systems with Applications, 40(10), pp. 3872{3885 (2013). 22. Mahmoudi, A., Sadi-Nezhad, S., and Makui, A. An extended fuzzy VIKOR for group decision making based on fuzzy distance to supplier selection", Scientia Iranica, 23(4), pp. 1879{1892 (2016). 23. Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E.K., and Antucheviciene, J. Supplier evaluation and selection in fuzzy environments: a review of MADM approaches", Economic Research-Ekonomska Istra_zivanja, 30(1), pp. 1073{1118 (2017). 24. Rezaei, J. and Davoodi, M. Multi-objective models for lot-sizing with supplier selection", International Journal of Production Economics, 130(1), pp. 77{86 (2011). 25. Govindan, K., Fattahi, M., and Keyvanshokooh, E. Supply chain network design under uncertainty: A comprehensive review and future research directions", European Journal of Operational Research, 263(1), pp. 108{141 (2017). 26. Tabibian, M. and Rezapour, M. Assessment of urban resilience; a case study of Region 8 of Tehran city, Iran", Scientia Iranica, 23(4), pp. 1699{1707 (2016). 27. Bidokhti, A.A., Shariepour, Z., and Sehatkashani, S. Corrigendum to some resilient aspects of urban areas to air pollution and climate change, case study: Tehran, Iran", Scientia Iranica, 23(6), pp. 1994{2004 (2016). 28. Hsieh, C.Y., Wee, H.M., and Chen, A. Resilient logistics to mitigate supply chain uncertainty: A case study of an automotive company", Scientia Iranica, 23(5), pp. 2287{2296 (2016). 29. Khaloo, A.R. and Mobini, M.H. Towards resilient structures", Scientia Iranica, 23(5), pp. 2077{2080 (2016). 30. Sawik, T., Selection of resilient supply portfolio under disruption risks", Omega, 41(2), pp. 259{269 (2013). 31. Fattahi, M. Resilient procurement planning for supply chains: A case study for sourcing a critical mineral material", Resources Policy (In press) (2017). https://doi.org/10.1016/j.resourpol.2017.10.010 32. Vahidi, F., Torabi, S.A., and Ramezankhani, M.J. Sustainable supplier selection and order allocation under operational and disruption risks", Journal of Cleaner Production, 174, pp. 1351{1365 (2018). 33. Taleizadeh, A.A., Niaki, S.T.A., and Barzinpour, F. Multiple-buyer multiple-vendor multi-product multiconstraint supply chain problem with stochastic demand and variable lead-time: A harmony search algorithm", Applied Mathematics and Computation, 217(22), p. 9234{9253 (2011). 34. Sahebjamnia, N., Torabi, S.A., and Mansouri, S.A. Integrated business continuity and disaster recovery planning: Towards organizational resilience", European Journal of Operational Research, 242(1), pp. 261{273 (2015). 35. Torabi, S., Baghersad, M., and Mansouri, S. Resilient supplier selection and order allocation under operational and disruption risks", Transportation Research Part E: Logistics and Transportation Review, 79, pp. 22{48 (2015). 36. Gaur, J., Subramoniam, R., Govindan, K., and Huisingh, D. Closed-loop supply chain management: From conceptual to an action oriented framework on core acquisition", Journal of Cleaner Production, 30, pp. 1{10 (2016). 37. Namdar, J., Tavakkoli-Moghaddam, R., Sahebjamnia, N., and Sou_, H.R. Designing a reliable distribution network with facility forti_cation and transshipment under partial and complete disruptions", International Journal of Engineering-Transactions C: Aspects C, 29(9), pp. 1273{1281 (2016). 38. Tukamuhabwa, B.R., Stevenson, M., Busby, J., and Zorzini, M. Supply chain resilience: de_nition, review and theoretical foundations for further study", International Journal of Production Research, 53(18), pp. 5592{5623 (2015). 39. Altiparmak, F., Gen, M., Lin, L., and Paksoy, T., A genetic algorithm approach for multi-objective optimization of supply chain networks", Computers & Industrial Engineering, 51(1), pp. 196{215 (2006). 40. Vahidi, F., Torabi, S.A., and Ramezankhani, M. Sustainable supplier selection and order allocation under operational and disruption risks", Journal of Cleaner Production, 174, pp. 1351{1365 (2018). 41. Awasthi, A., Govindan, K., and Gold, S. Multitier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach", International Journal of Production Economics, 195, pp. 106{117 (2018). 424 N. Sahebjamnia/Scientia Iranica, Transactions E: Industrial Engineering 27 (2020) 411{426 42. Soosay, C.A., Hyland, P.W., and Ferrer, M. Supply chain collaboration: capabilities for continuous innovation", Supply Chain Management: An International Journal, 13(2), pp. 160{169 (2008). 43. Torabi, S.A., Rezaei Sou_, H., and Sahebjamnia, N. A new framework for business impact analysis in business continuity management (with a case study)", Safety Science, 68, pp. 309{323 (2014). 44. Torabi, S.A., Giahi, R., and Sahebjamnia, N. An enhanced risk assessment framework for business continuity management systems", Safety Science, 89, pp. 201{218 (2016). 45. Jim_enez, M., Arenas, M., Bilbao, A., and Rodr_, M.V. Linear programming with fuzzy parameters: an interactive method resolution", European Journal of Operational Research, 177(3), pp. 1599{1609 (2007). 46. Parra, M.A., Terol, A.B., Gladish, B.P., and Ur_a, M.R. Solving a multiobjective possibilistic problem through compromise programming", European Journal of Operational Research, 164(3), pp. 748{759 (2005). 47. Pishvaee, M. and Torabi, S. A possibilistic programming approach for closed-loop supply chain network design under uncertainty", Fuzzy Sets and Systems, 161(20), pp. 2668{2683 (2010). 48. Torabi, S.A. and Hassini, E. An interactive possibilistic programming approach for multiple objective supply chain master planning", Fuzzy Sets and Systems, 159(2), pp. 193{214 (2008). 49. Liou, James J.H. Developing an integrated model for the selection of strategic alliance partners in the airline industry", Knowledge-Based Systems, 28, pp. 59{67 (2012). 50. Tzeng, G.-H., Chiang, C.-H., and Li, C.-W. Evaluating intertwined e_ects in e-learning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL", Expert Systems with Applications, 32(4), pp. 1028{1044 (2007). 51. Suo, W.-L., Feng, B., and Fan, Z.-P. Extension of the DEMATEL method in an uncertain linguistic environment", Soft Computing, 16(3), pp. 471{483 (2012). 52. Hiete, M., Merz, M., Comes, T., and Schultmann, F. Trapezoidal fuzzy DEMATEL method to analyze and correct for relations between variables in a composite indicator for disaster resilience", OR Spectrum, 34(4), pp. 971{995 (2012). 53. Li, C.-W. and Tzeng, G.-H. Identi_cation of a threshold value for the DEMATEL method using the maximum mean de-entropy algorithm to find critical services provided by a semiconductor intellectual property mall", Expert Systems with Applications, 36(6), pp. 9891{9898 (2009). 54. Saaty, T.L., Decision Making with Dependence and Feedback: The Analytic Network Process, Pittsburgh, RWS Publications (1996). 55. Yang, J.L. and Tzeng, G.-H. An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method", Expert Systems with Applications, 38(3), pp. 1417{1424 (2011). 56. Jim_enez, M. Ranking fuzzy numbers through the comparison of its expected intervals", International Journal of Uncertainty, Fuzziness and Knowledge- Based Systems, 4(04), pp. 379{388 (1996).
)
