[1] Forger G. UPS starts world’s premiere cross-docking operation. Modern material handling. 1995; 36(8):36-8. 
[2] Van Belle J, Valckenaers P, Cattrysse D. Cross-docking: State of the art. Omega. 2012; 40(6):827-46. 
[3] Ladier AL, Alpan G. Cross-docking operations: Current research versus industry practice. Omega. 2016; 62:145-62. 
[4] Bartholdi JJ, Gue KR. The best shape for a crossdock. Transportation science. 2004; 38(2):235-44. 
[5] Ross A, Jayaraman V. An evaluation of new heuristics for the location of cross-docks distribution centers in supply chain network design. Computers & Industrial Engineering. 2008; 55(1):64-79. 
[6] Gonzalez-Feliu J. Cost optimisation in freight distribution with cross-docking: N-echelon location routing problem. Promet-Traffic&Transportation. 2012; 24(2):143-9. 
[7] Mousavi SM, Vahdani B, Tavakkoli-Moghaddam R. Optimal design of the cross-docking in distribution networks: Heuristic solution approach. International Journal of Engineering. 2014; 27(4):533-44. 
[8] Mousavi SM, Tavakkoli-Moghaddam R, Siadat A, Vahdani B. A hybrid simulated annealing algorithm for location of cross-docking centers in a supply chain. InInternational Workshop on Hybrid Metaheuristics 2013; 12-21. Springer, Berlin, Heidelberg. 
[9] Mousavi SM, Tavakkoli-Moghaddam R, Jolai F. A possibilistic programming approach for the location problem of multiple cross-docks and vehicle routing scheduling under uncertainty. Engineering Optimization. 2013; 45(10):1223-49. 
[10] Shi W, Liu Z, Shang J, Cui Y. Multi-criteria robust design of a JIT-based cross-docking distribution center for an auto parts supply chain. European Journal of Operational Research. 2013; 229(3):695-706. 
[11] Mousavi SM, Vahdani B, Tavakkoli-Moghaddam R, Hashemi H. Location of cross-docking centers and vehicle routing scheduling under uncertainty: a fuzzy possibilistic–stochastic programming model. Applied Mathematical Modelling. 2014; 38(7-8):2249-64.
[12] Seyedhoseini SM, Rashid R, Teimoury E. Developing a cross-docking network design model under uncertain environment. Journal of Industrial Engineering International. 2015; 11(2):225-36. 
[13] Mokhtarinejad M, Ahmadi A, Karimi B, Rahmati SH. A novel learning based approach for a new integrated location-routing and scheduling problem within cross-docking considering direct shipment. Applied Soft Computing. 2015; 34:274-85.
[14] Mousavi SM, Vahdani B. Cross-docking location selection in distribution systems: a new intuitionistic fuzzy hierarchical decision model. International Journal of computational intelligence Systems. 2016; 9(1):91-109.
[15] Goodarzi AH, Zegordi SH. A location-routing problem for cross-docking networks: A biogeography-based optimization algorithm. Computers & Industrial Engineering. 2016; 102:132-46. 
[16] Mousavi SM, Vahdani B. A robust approach to multiple vehicle location-routing problems with time windows for optimization of cross-docking under uncertainty. Journal of Intelligent & Fuzzy Systems. 2017; 32(1):49-62.
[17] Maknoon Y, Laporte G. Vehicle routing with cross-dock selection. Computers & Operations Research. 2017; 77:254-66. 
[18] Soleimaninanadegany A, Hassan A, Galankashi MR. Product allocation of warehousing and cross docking: a genetic algorithm approach. International Journal of Services and Operations Management. 2017; 27(2):239-61.
[19] Behnamian J, Fatemi Ghomi SM, Jolai F, Heidary P. Location-allocation and scheduling of inbound and outbound trucks in multiple cross-dockings considering breakdown trucks. Journal of Optimization in Industrial Engineering. 2018; 11(1):51-65. 
[20] Rafie-Majd Z, Pasandideh SH, Naderi B. Modelling and solving the integrated inventory-location-routing problem in a multi-period and multi-perishable product supply chain with uncertainty: Lagrangian relaxation algorithm. Computers & chemical engineering. 2018; 109:9-22. 
[21] Baniamerian A, Bashiri M, Zabihi F. Two phase genetic algorithm for vehicle routing and scheduling problem with cross-docking and time windows considering customer satisfaction. Journal of Industrial Engineering International. 2018; 14(1):15-30.
[22] Dulebenets MA. A diploid evolutionary algorithm for sustainable truck scheduling at a cross-docking facility. Sustainability. 2018; 10(5):1333. 
[23] Barsing P, Daultani Y, Vaidya OS, Kumar S. Cross-docking centre location in a supply chain network: A social network analysis approach. Global Business Review. 2018; 19(3_suppl):S218-34. 
[24] Chen D, Zhang Y. Location Optimization of Cross Dock Network Considering Carbon Emissions. InCICTP 2017: Transportation Reform and Change—Equity, Inclusiveness, Sharing, and Innovation 2018; 1519-1527. Reston, VA: American Society of Civil Engineers. 
[25] Mousavi SM, Antuchevičienė J, Zavadskas EK, Vahdani B, Hashemi H. A new decision model for cross-docking center location in logistics networks under interval-valued intuitionistic fuzzy uncertainty. Transport. 2019; 34(1):30-40. 
[26] Sun Y, Liang X, Li X, Zhang C. A fuzzy programming method for modeling demand uncertainty in the capacitated road–rail multimodal routing problem with time windows. Symmetry. 2019; 11(1):91. 
[27] Özmen M, Aydoğan EK. Robust multi-criteria decision making methodology for real life logistics center location problem. Artificial Intelligence Review. 2020; 53(1):725-51. 
[28] Uyanik C, Tuzkaya G, Kalender ZT, Oguztimur S. An integrated DEMATEL–IF-TOPSIS methodology for logistics centers’ location selection problem: an application for Istanbul Metropolitan area. Transport. 2020; 35(6):548-56. 
[29] Delfani F, Kazemi A, SeyedHosseini SM, Niaki ST. A novel robust possibilistic programming approach for the hazardous waste location-routing problem considering the risks of transportation and population. International Journal of Systems Science: Operations & Logistics. 2021; 8(4):383-95. 
[30] Shahparvari S, Nasirian A, Mohammadi A, Noori S, Chhetri P. A GIS-LP integrated approach for the logistics hub location problem. Computers & Industrial Engineering. 2020; 146:106488.
[31] Muravev D, Hu H, Zhou H, Pamucar D. Location optimization of CR express international logistics centers. Symmetry. 2020; 12(1):143.
[32] Hasani Goodarzi A, Zegordi SH, Alpan G, Nakhai Kamalabadi I, Husseinzadeh Kashan A. Reliable cross-docking location problem under the risk of disruptions. Operational Research. 2021; 21(3):1569-612. 
[33] Shahabi-Shahmiri R, Asian S, Tavakkoli-Moghaddam R, Mousavi SM, Rajabzadeh M. A routing and scheduling problem for cross-docking networks with perishable products, heterogeneous vehicles and split delivery. Computers & Industrial Engineering. 2021; 157:107299.
[34] Nezhadroshan AM, Fathollahi-Fard AM, Hajiaghaei-Keshteli M. A scenario-based possibilistic-stochastic programming approach to address resilient humanitarian logistics considering travel time and resilience levels of facilities. International Journal of Systems Science: Operations & Logistics. 2021; 8(4):321-47. 
[35] Goodarzi AH, Diabat E, Jabbarzadeh A, Paquet M. An M/M/c queue model for vehicle routing problem in multi-door cross-docking environments. Computers & Operations Research. 2022; 138:105513. 
[36] Holland JH. Genetic algorithms and the optimal allocation of trials. SIAM journal on computing. 1973; 2(2):88-105.
[37] Mirjalili S, Mirjalili SM, Lewis A. Grey wolf optimizer. Advances in engineering software. 2014; 69:46-61.