Ahmad, N. K. W., de Brito, M. P., Rezaei, J., & Tavasszy, L. A. (2017a). An integrative framework
for sustainable supply chain management practices in the oil and gas industry. Journal of
Environmental Planning and Management, 60(4), 577–601.
Ahmad, W. N. K. W., Rezaei, J., Sadaghiani, S., & Tavasszy, L. A. (2017b). Evaluation of the
external forces affecting the sustainability of oil and gas supply chain using Best Worst Method.
Journal of Cleaner Production, 153, 242–252.
Anagnostopoulos, K., Doukas, H., & Psarras, J. J. E. S. w. A. (2008). A linguistic multicriteria
analysis system combining fuzzy sets theory, ideal and anti-ideal points for location site
selection. Expert Systems with Applications, 35(4), 2041–2048.
Ashrafzadeh, M., Rafiei, F. M., Isfahani, N. M., & Zare, Z. J. I. J. O. C. R. I. B. (2012). Application
of fuzzy TOPSIS method for the selection of warehouse location: A case study. Journal of
Contemporary Research in Business, 3(9), 655–671.
Awasthi, A., Chauhan, S. S., Goyal, S. K. J. M., & Modelling, C. (2011). A multi-criteria decision
making approach for location planning for urban distribution centers under uncertainty. Mathematical and Computer Modelling, 53(1-2), 98–109.
Bagum, N., & Rashed, C. A. A. J. R. O. G. M. (2014). Multi-criteria analysis for the selection of
location for distribution center using analytical hierarchy process. Review of General Management, 20, 2.
Ben-Iwo, J., Manovic, V., & Longhurst, P. (2016). Biomass resources and biofuels potential for the
production of transportation fuels in Nigeria. Renewable and Sustainable Energy Reviews, 63,
172–192.
Bhushan, N., & Rai, K. (2007). Strategic decision making: Applying the analytic hierarchy process.
Cham: Springer Science & Business Media.
Bouhana, A., Chabchoub, H., Abed, M., & Fekih, A. (2013). A multi-criteria decision making
approach based on fuzzy theory and fuzzy preference relations for urban distribution centers’
location selection under uncertain environments. In 2013 international conference on advanced
logistics and transport (pp. 556–561). IEEE.
Cao, F., & Zhang, R. (2009). The errors of approximation for feedforward neural networks in the Lp
metric. Mathematical and Computer Modelling, 49(7), 1563–1572.
Chakraborty, R., Ray, A., & Dan, P. J. I. J. o. I. E. C. (2013). Multi criteria decision making
methods for location selection of distribution centers. International Journal of Industrial
Engineering Computations, 4(4), 491–504.
Chan, F., & Chung, S. J. T. I. J. o. A. M. T. (2004). Multi-criteria genetic optimization for
distribution network problems. International Journal of Advanced Manufacturing Technology,
24(7-8), 517–532.
Chen, C.-T. J. F. s., & systems. (2001). A fuzzy approach to select the location of the distribution
center. Fuzzy sets and systems, 118(1), 65–73.
Church, R., & Velle, C. R. (1974). The maximal covering location problem. Papers in regional
science, 32(1), 101–118.
Demirel, T., Demirel, N. Ç., & Kahraman, C. J. E. S. w. A. (2010). Multi-criteria warehouse
location selection using Choquet integral. Expert Systems with Applications, 37(5), 3943–3952.
Dey, B., Bairagi, B., Sarkar, B., Sanyal, S. K. J. I. J. o. M. S., & Management, E. (2016). Warehouse
location selection by fuzzy multi-criteria decision making methodologies based on subjective
and objective criteria. International Journal of Management Science and Engineering Management, 11(4), 262–278.
Farahani, R. Z., & Asgari, N. (2007). Combination of MCDM and covering techniques in a
hierarchical model for facility location: A case study. European Journal of Operational
Research, 176(3), 1839–1858.
Hu, Y., Wu, S., & Cai, L. (2009, April). Fuzzy multi-criteria decision-making TOPSIS for
distribution center location selection. In 2009 international conference on networks security,
wireless communications and trusted computing (Vol. 2, pp. 707–710). IEEE.
90
S. Kheybari and A. Pooya
for sustainable supply chain management practices in the oil and gas industry. Journal of
Environmental Planning and Management, 60(4), 577–601.
Ahmad, W. N. K. W., Rezaei, J., Sadaghiani, S., & Tavasszy, L. A. (2017b). Evaluation of the
external forces affecting the sustainability of oil and gas supply chain using Best Worst Method.
Journal of Cleaner Production, 153, 242–252.
Anagnostopoulos, K., Doukas, H., & Psarras, J. J. E. S. w. A. (2008). A linguistic multicriteria
analysis system combining fuzzy sets theory, ideal and anti-ideal points for location site
selection. Expert Systems with Applications, 35(4), 2041–2048.
Ashrafzadeh, M., Rafiei, F. M., Isfahani, N. M., & Zare, Z. J. I. J. O. C. R. I. B. (2012). Application
of fuzzy TOPSIS method for the selection of warehouse location: A case study. Journal of
Contemporary Research in Business, 3(9), 655–671.
Awasthi, A., Chauhan, S. S., Goyal, S. K. J. M., & Modelling, C. (2011). A multi-criteria decision
making approach for location planning for urban distribution centers under uncertainty. Mathematical and Computer Modelling, 53(1-2), 98–109.
Bagum, N., & Rashed, C. A. A. J. R. O. G. M. (2014). Multi-criteria analysis for the selection of
location for distribution center using analytical hierarchy process. Review of General Management, 20, 2.
Ben-Iwo, J., Manovic, V., & Longhurst, P. (2016). Biomass resources and biofuels potential for the
production of transportation fuels in Nigeria. Renewable and Sustainable Energy Reviews, 63,
172–192.
Bhushan, N., & Rai, K. (2007). Strategic decision making: Applying the analytic hierarchy process.
Cham: Springer Science & Business Media.
Bouhana, A., Chabchoub, H., Abed, M., & Fekih, A. (2013). A multi-criteria decision making
approach based on fuzzy theory and fuzzy preference relations for urban distribution centers’
location selection under uncertain environments. In 2013 international conference on advanced
logistics and transport (pp. 556–561). IEEE.
Cao, F., & Zhang, R. (2009). The errors of approximation for feedforward neural networks in the Lp
metric. Mathematical and Computer Modelling, 49(7), 1563–1572.
Chakraborty, R., Ray, A., & Dan, P. J. I. J. o. I. E. C. (2013). Multi criteria decision making
methods for location selection of distribution centers. International Journal of Industrial
Engineering Computations, 4(4), 491–504.
Chan, F., & Chung, S. J. T. I. J. o. A. M. T. (2004). Multi-criteria genetic optimization for
distribution network problems. International Journal of Advanced Manufacturing Technology,
24(7-8), 517–532.
Chen, C.-T. J. F. s., & systems. (2001). A fuzzy approach to select the location of the distribution
center. Fuzzy sets and systems, 118(1), 65–73.
Church, R., & Velle, C. R. (1974). The maximal covering location problem. Papers in regional
science, 32(1), 101–118.
Demirel, T., Demirel, N. Ç., & Kahraman, C. J. E. S. w. A. (2010). Multi-criteria warehouse
location selection using Choquet integral. Expert Systems with Applications, 37(5), 3943–3952.
Dey, B., Bairagi, B., Sarkar, B., Sanyal, S. K. J. I. J. o. M. S., & Management, E. (2016). Warehouse
location selection by fuzzy multi-criteria decision making methodologies based on subjective
and objective criteria. International Journal of Management Science and Engineering Management, 11(4), 262–278.
Farahani, R. Z., & Asgari, N. (2007). Combination of MCDM and covering techniques in a
hierarchical model for facility location: A case study. European Journal of Operational
Research, 176(3), 1839–1858.
Hu, Y., Wu, S., & Cai, L. (2009, April). Fuzzy multi-criteria decision-making TOPSIS for
distribution center location selection. In 2009 international conference on networks security,
wireless communications and trusted computing (Vol. 2, pp. 707–710). IEEE.
90
S. Kheybari and A. Pooya