[1] Arabzad, S.M., Ghorbani, M. and Bahrami, M. (2012). Distribution evaluation problem based on data envelopment analysis. International Journal of Supply Chain Management, 1(1), 27-32.
[2] Arabzad, S.M., Kamali, A., Naji, B. and Ghorbani, M. (2013). DEA and TOPSIS techniques for purchasing management: the case of aircraft manufacturing industry. International Journal of Logistics Systems and Management, 14(2), 242-260.
[3] Amiri, A. (2006). Designing a distribution network in a supply chain system: Formulation and efficient solution procedure. European Journal of Operational Research, 171(2), 567–576.
[4] Bashiri, M. and Hosseininezhad, S.J. (2009). A fuzzy group decision support system for multi- facility location problems. The International Journal of Advanced Manufacturing Technology, 42(5-6), 533-543.
[5] Beamon, B.M. (1998). Supply Chain Design and Analysis: Models and Methods, International Journal of Production Economics, 55(3), 281-294.
[6] Cooper, L. (1963). Location–allocation problems. Operations Research, 11(3), 331–343.
[7] Drezner, Z. and Hamacher, H.W. (2002). Facility location: Applications and theory. Springer.
[8] Farahani R.Z., SteadieSeifi M. and Asgari N. (2010). Multiple criteria facility location problems: A survey. Applied Mathematical Modelling, 34(7), 1689–1709.
[9] Ghorbani, M., Arabzad, S.M. and Shahin, A. (2013). A novel approach for supplier selection based on the Kano model and fuzzy MCDM. International Journal of Production Research, 51(18), 5469-5484.
[10] Ghorbani, M., Arabzad, S.M. and Tavakkoli–Moghaddam, R. (2014). Service quality–based distributor selection problem: a hybrid approach using fuzzy ART and AHP–FTOPSIS. International Journal of Productivity and Quality Management, 13(2), 157-177.
[11] Ghorbani, M., Arabzad, S.M. and Tavakkoli–Moghaddam, R. (2014). A multi–objective fuzzy goal programming model for reverse supply chain design. International Journal of Operational Research, 19(2), 141-153.
[12] Ghorbani, M., Bahrami, M. and Arabzad, S.M. (2012). An Integrated Model for Supplier Selection and Order Allocation; Using Shannon Entropy, SWOT and Linear Programming. Procedia-Social and Behavioral Sciences, 41(1), 521-527.
[13] Ghorbani, M., Tavakkoli-Moghaddam, R., Razmi, J. and Arabzad, S.M. (2012). Applying the fuzzy ART algorithm to distribution network design. Management Science Letters, 2(1), 79-86.
[14] Harris, I., Mumford, C. L. and Naim, M. M. (2014). A hybrid multi-objective approach to capacitated facility location with flexible store allocation for green logistics modeling. Transportation Research Part E: Logistics and Transportation Review, 66(1), 1-22.
[15] Jamalnia, A., Mahdiraji, H. A., Sadeghi, M. R., Hajiagha, S. H. R. and Feili, A. (2014). An integrated fuzzy QFD and fuzzy goal programming approach for global facility location- allocation problem. International Journal of Information Technology & Decision Making, 13(2), 263-290.
[16] Jiang, J.-L. and Yuan, X.M. (2008). A heuristic algorithm for constrained multi-source Weber problem–The variational inequality approach. European Journal of Operational Research, 187(2), 357–370.
[17]
Jolai, F.,
Tavakkoli-Moghaddam, R. and
Taghipour, M. (2012). A multi-objective particle swarm optimisation algorithm for unequal sized dynamic facility layout problem with pickup/drop-off locations.
International Journal of Production Research, 50(15), 4279-4293.
[18]
Kanyalkar, A.P. and
Adil, G.K. (2005). An integrated aggregate and detailed planning in a multi- site production environment using linear programming.
International Journal of Production Research, 43(20), 4431-4454.
[19] Klose, A. and Drexl, A. (2005). Facility location models for distribution system design.
European Journal of Operational Research, 162(1), 4–29.
[20] Liu, S.C., and Lin, C.C. (2005). A heuristic method for the combined location routing and inventory problem. The International Journal of Advanced Manufacturing Technology, 26(4), 372-381.
[21] Mahdavi, I., Aalaei, A., Paydar, M. and Solimanpur, M. (2011). Multi-objective cell formation and production planning in dynamic virtual cellular manufacturing systems. International Journal of Production Research, 47(18), 4991–5017.
[22]
Manzini, R. and
Gebennini, E. (2008). Optimization models for the dynamic facility location and allocation problem
. International Journal of Production Research, 46(8), 2061-2086.
[23] Melo, M.T., Nickel, S. and Saldanha-da-Gama, F. (2009). Facility location and supply chain management – A review. European Journal of Operational Research, 196(2), 401-412.
[24] Nickel, S. and Puerto, J. (2005). Location Theory: A Unified Approach. Springer, New York.
[25] Owen S.H. and Daskin M.S. (1998). Strategic Facility Location: A Review. European Journal of Operational Research, 111(3), 423-447.
[26] Selim, H. and Ozkarahan I. (2009). A supply chain distribution network design model: An
interactive fuzzy goal programming-based solution approach. International Journal of Advanced Manufacturing Technology, 36(3-4), 401–418.
[27] Singh,
S.P. and Singh,
V.K. (2011). Three-level AHP-based heuristic approach for a multi- objective facility layout problem.
International Journal of Production Research, 49(4), 1105- 1125.
[28]
Torres-Sotoa, J.E. and Halit,
Ü. (2011). Dynamic-demand capacitated facility location problems with and without relocation.
International Journal of Production Research, 49(13), 3979-4005.
[29] Tsai, W. and Hung, Sh. (2009). A fuzzy goal programming approach for green supply chain optimisation under activity-based costing and performance evaluation with a value-chain structure. International Journal of Production Research, 47(18), 4991–5017.
[30] Yang, T., Ignizio, J.P. and Kism, H.J. (1991). Fuzzy programming with nonlinear membership functions: piecewise linear approximation. Fuzzy Sets and Systems, 11(1), 39–53.
[31] Zahir, S. and Sarker, R. (2010). Optimising multi-objective location decisions in a supply chain using an AHP-enhanced goal-programming model. International Journal of Logistics Systems and Management, 6(3), 249-266.
[32] Zarandi, M.H., Sisakht, A.H. and Davari, S. (2011). Design of a closed-loop supply chain (CLSC) model using an interactive fuzzy goal programming. The International Journal of Advanced Manufacturing Technology, 56(5-8), 809-821.
[33] Zimmermann, H.J. (1978). Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Systems, 1(1), 45–55.
)