[1] Hitchcock FL. The distribution of a product from several sources to numerous localities. J Math Phys.
1941;20:224-30.
[2] Diabat A, Theodorou E. A location-inventory supply chain problem: Reformulation and piecewise linearization. Computers and Industrial Engineering. 2015;90:381-9.
 [3] Shell E. Distribution of a product by several properties, Directorate of Management Analysis. Proceedings of the second symposium in linear programming1955. p. 615-42.
[4] Gunasekaran A, Dubey R, Singh SP. Flexible Sustainable Supply Chain Network Design: Current Trends, Opportunities and Future. Global Journal of Flexible Systems Management. 2016;17:109-12.
[5] Winkler H. How to improve supply chain flexibility using strategic supply chain networks. Logistics Research. 2009;1:15-25.
[6] Chopra S, Meindl P. Supply chain management. Strategy, planning & operation. Das summa summarum des management: Springer; 2007. p. 265-75.
[7] Reyes PM. Logistics networks: A game theory application for solving the transshipment problem. Applied Mathematics and Computation. 2005;168:1419-31.
[8] Lin L, Gen M, Wang X. Integrated multistage logistics network design by using hybrid evolutionary algorithm. Computers and Industrial Engineering. 2009;56:854-73.
[9] Gen M, Lin L, Yun Y, Inoue H. Recent advances in hybrid priority-based genetic algorithms for logistics and SCM network design. Computers and Industrial Engineering. 2018;125:394-412.
[10] Boysen N, Emde S, Hoeck M, Kauderer M. Part logistics in the automotive industry: Decision problems, literature review and research agenda. European Journal of Operational Research. 2015;242:107-20.
[11] Chopra S. Designing the distribution network in a supply chain. Transportation Research Part E: Logistics and Transportation Review. 2003;39:123-40.
[12] Eskigun E, Uzsoy R, Preckel PV, Beaujon G, Krishnan S, Tew JD. Outbound supply chain network design with mode selection, lead times and capacitated vehicle distribution centers. European Journal of Operational Research. 2005;165:182-206.
[13] Melo MT, Nickel S, Saldanha Da Gama FS. Dynamic multi-commodity capacitated facility location: A mathematical modeling framework for strategic supply chain planning. Computers and Operations Research. 2006;33:181-208.
[14] Melo MT, Nickel S, Saldanha-da-Gama F. An efficient heuristic approach for a multi-period logistics network redesign problem. TOP. 2014;22:80-108.
[15] Thanh PN, Bostel N, Péton O. A dynamic model for facility location in the design of complex supply chains. International Journal of Production Economics. 2008;113:678-93.
[16] Thanh PN, Péton O, Bostel N. A linear relaxation-based heuristic approach for logistics network design. Computers and Industrial Engineering. 2010;59:964-75.
[17] Thanh PN, Bostel N, Péton O. A DC programming heuristic applied to the logistics network design problem. International Journal of Production Economics. 2012;135:94-105.
[18] Cintron A, Ravindran AR, Ventura JA. Multi-criteria mathematical model for designing the distribution network of a consumer goods company. Computers and Industrial Engineering. 2010;58:584-93.
[19] Pishvaee MS, Rabbani M. A graph theoretic-based heuristic algorithm for responsive supply chain network design with direct and indirect shipment. Advances in Engineering Software. 2011;42:57-63.
[20] Jolayemi JK, Fan C. Production-distribution and transportation planning in flexible multi-echelon supply chains. Annals of Management Science. 2012;1:41-60.
 [21] Mehdizadeh E, Afrabandpei F. Design of a mathematical model for logistic network in a multistage multi- product supply chain network and developing a metaheuristic algorithm. Journal of Optimization in Industrial Engineering. 2012;5:35-43.
[22] Babazadeh R, Razmi J, Ghodsi R. Supply chain network design problem for a new market opportunity in an agile manufacturing system. Journal of Industrial Engineering International. 2012;8.
[23] Hiremath NC, Sahu S, Tiwari MK. Multi objective outbound logistics network design for a manufacturing supply chain. Journal of Intelligent Manufacturing. 2013;24:1071-84.
[24] Rianthong N, Dumrongsiri A. Time-partitioning heuristic algorithm for optimal production, inventory, and transportation planning with direct shipment. Songklanakarin Journal of Science and Technology. 2013;35:369- 77.
[25] Rajabalipour Cheshmehgaz H, Desa MI, Wibowo A. A flexible three-level logistic network design considering cost and time criteria with a multi-objective evolutionary algorithm. Journal of Intelligent Manufacturing. 2013;24:277-93.
[26] Rajabalipour Cheshmehgaz H, Islam MN, Desa MI. A polar-based guided multi-objective evolutionary algorithm to search for optimal solutions interested by decision-makers in a logistics network design problem. Journal of Intelligent Manufacturing. 2014;25:699-726.
[27] BozorgiRad SY, Desa MI, Firoozi M. Genetic algorithms with heuristics rules to solve multi source single product flexible multistage logistics network problem. Journal of Basic and Applied Scientific Research. 2014;4:264-76.
[28] Jamrus T, Chien C, Gen M, Sethanan K. Flexible multistage forward/reverse logistics network under uncertain demands with hybrid genetic algorithm. Toward Sustainable Operations of Supply Chain and Logistics Systems, Part v. 2015:377-90.
[29] Govindan K, Jafarian A, Nourbakhsh V. Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic. Computers and Operations Research. 2015;62:112-30.
[30] Cortinhal MJ, Lopes MJ, Melo MT. Dynamic design and re-design of multi-echelon, multi-product logistics networks with outsourcing opportunities: A computational study. Computers and Industrial Engineering. 2015;90:118-31.
[31] Melo MT, Nickel S, Saldanha-Da-Gama F. A tabu search heuristic for redesigning a multi-echelon supply chain network over a planning horizon. International Journal of Production Economics. 2012;136:218-30.
[32] Behmanesh E, Pannek J. A memetic algorithm with extended random path encoding for a closed-loop supply chain model with flexible delivery. Logistics Research. 2016;9.
[33] Poudel SR, Marufuzzaman M, Bian L. Designing a reliable bio-fuel supply chain network considering link failure probabilities. Computers and Industrial Engineering. 2016;91:85-99.
[34] Wang LC, Cheng CY, Wang WK. Flexible supply network planning for hybrid shipment: A case study of memory module industry. International Journal of Production Research. 2016;54:444-58.
[35] Yu J, Gan M, Ni S, Chen D. Multi-objective models and real case study for dual-channel FAP supply chain network design with fuzzy information. Journal of Intelligent Manufacturing. 2018;29:389-403.
[36] Barzinpour F, Taki P. A dual-channel network design model in a green supply chain considering pricing and transportation mode choice. Journal of Intelligent Manufacturing. 2018;29:1465-83.
[37] Molla-Alizadeh-Zavardehi S, Shoja A. A Fuzzy multi-product two-stage supply chain network design with possibility of direct shipment. Annals of Optimization Theory and Practice. 2018;1:11-22.
 [38] Fahimnia B, Davarzani H, Eshragh A. Planning of complex supply chains: A performance comparison of three meta-heuristic algorithms. Computers and Operations Research. 2018;89:241-52.
[39] Kristianto Y, Gunasekaran A. A global optimization for sustainable multi-domain global manufacturing. Computers and Operations Research. 2018;89:307-23.
[40] Molla-Alizadeh-Zavardehi S, Hajiaghaei-Keshteli M, Tavakkoli-Moghaddam R. Solving a capacitated fixed- charge transportation problem by artificial immune and genetic algorithms with a Prüfer number representation. Expert Systems with Applications. 2011;38:10462-74.
[41] Hirsch WM, Dantzig GB. The fixed charge problem. Naval Research Logistics Quarterly. 1968;15:413-24.
[42] Klose A. Algorithms for solving the single-sink fixed-charge transportation problem. Computers and Operations Research. 2008;35:2079-92