Amiri, M. & Kheirandish, M. (2000). A Model for Improving Supply Chain Management in Foolad Ardabil Company. Management Development Journal, 14 (71): 4-17. (in Persian)
Apte, UM. & Viswanathan, S. (2000). Effective Cross Docking for Improving Distribution Efficiencies. International Journal of Logistics: Research and Applications. 3 (3): 291–302.
Aras, N., Aksen, D. & Tagrl Tekin, M. (2011). Selective Multi-Depot Vehicle Routing Problem with pricing. Transportation Research Part C, 19(5): 866-884.
Belle, J.V., Valckenaers, P. & Cattrysse, D. (2012). Cross docking: State of the Art. Omega, 40(6): 846-827.
Boloori Arabani, A., Zandieh, M. & Fatemi Gomi, S-M-T. (2011). Multi Objective Genetic-Based Algorithms for A Cross-Docking Scheduling Problem. Applied soft computing, 11(8): 4954-4970.
Calvete, H.I., Galé, C., Oliveros, M.J. & Snchez-Valverde, B. (2007). A Goal Programming Approach to Vehicle Routing Problems with Soft Time Windows Star, Open. European Journal of Operational Research, 177(3): 1720–1733.
Cook, R.L., Gibson B. & Mac Curdy, D. (2005). A Lean Approach to Cross-Docking. Supply Chain Management, 9(2): 54-59.
Dantzig, G. & Ramser, J. (1959). The Truck Dispatching Problem. Journal of Management Science, 6(1): 80-91.
Dareh Miraki, M. (2013). A new heuristic algorithm to solve vehicle routing problem, operations research journal and its applications, 4(35):1-7.
(in Persian)
Dehbari, S., Purrusta, A., Naderi, M., Ghobadian, E. & Tavakoli Moghadam, R. (2013). Multi objective vehicle routing with probable service time and fuzzy demand under time window constraints, Operations Research in Applications, 4 (35): 85-106. (in Persian)
Dondo, R. & Cerda, J. (2013). A Sweep-Heuristic Based Formulation for the Vehicle Routing Problem with Cross Docking. Computers and Chemical Engineering, 48(2013): 1-54.
Dondo, R., Mendez, C.A. & Cerda, J. (2011). The Multi-Echelon Vehicle Routing Problem with Cross Docking in Supply Chain Management. Computers and chemical engineering, 35(12): 3002-3024.
Dondo, R.G. & Cerda, J. (2009). A Hybrid Local Improvement Algorithm for Large-Scale Multi-Depot Vehicle Routing Problems with Time Windows. Computers and Chemical Engineering, 33(2): 513–530.
Eydi, A.R. & Abdorahimi, H. (2012). Model and solution approach for multi-period and multi-depot vehicle routing problem with flexibility in specifying the last depot of each rout. International journal of industrial engineering & production management, 23 (3): 333-349. (in Persian)
Fu, Z., Eglese, R. & Li, L.Y.O. (2008). A Unified TABU Search Algorithm for Vehicle Routing Problems with Soft Time Windows. Journal of the Operational Research Society, 59(5): 663–673.
Gary, M. & Johnson, D. (1979). Computers and Intractability: A Guide to the Theory of NP Completeness. Freeman, San Francisco.
Hosseini Nasab, S., Safaadeh, M. & Mamduhi, A. (2012). A method for routing optimization in public transportation integrating bus network and extremist bus, Transportation Engineering, 4 (8): 303-316. (in Persian)
Jia, H., Li, Y., Dong, B. & Ya, H. (2013). An improved tabu search approach to vehicle routing problem. Social and behavioral sciences, 96 (6): 1208-1217.
Kinnear, E. (1997). Is There Any Magic in Cross-Docking? Supply Chain Management: An International Journal, 2 (2): 49-52.
Laporte, G. (1992). The Vehicle Routing Problem: An Overview of Exact and Approximate Algorithms. European journal of operational research, 59(3): 345-358.
Lee, Y.H., Jung, J.W. & Lee, K.M. (2006). Vehicle Routing Scheduling for Cross-Docking in the Supply Chain, Computers & Industrial Engineering, 51(2): 247–256.
Li, Y., Lim, A. & Rodrigues, B. (2004). Cross-Docking: JIT Scheduling with Time Windows. Journal of the Operational Research Society, 55 (12): 1342–51.
Lio, C. J., Lin, Y & Shih, S.C. (2010). Vehicle Routing with Cross-Docking in the Supply Chain, expert systems with applications, 37(10): 6868-6873.
Liu, R. & Jiang, Z. (2012). The close-open mixed vehicle routing problem. European Journal of Operational Research, 220(2): 349–360.
Macedo, R., Alves, C., Carvalho, J.M.V.D; Clautiaux, F. & Hanafi, S. (2011). Solving the Vehicle Routing Problem with Time Windows and Multiple Routes Exactly Using a Pseudo-Polynomial model. European Journal of Operational Research, 214(3): 536–545.
Mahdavi-Asl, V., Khademi-Zare, H. & Hosseini-Nasab, H. (2012). Offering a mathematical model and heuristic method for solving multi-depot and multi-product vehicle routing problem with heterogeneous vehicle, International journal of industrial engineering & production management, 23 (3): 303-315. (in Persian)
Marinakis, Y. & Marinaki, M. (2010). A Hybrid Genetic – Particle Swarm Optimization Algorithm for the Vehicle Routing Problem. Expert Systems with Applications, 37(2): 1446–1455.
Mester, D., Braysy, O. & Dullaert, W. (2007). A Multi-Parametric Evolution Strategies Algorithm for Vehicle Routing Problems. Expert Systems with applications, 32(2): 508-517.
Mohammadi Zanjirani, D. & Asadi Aghageri, M. (2009). Designing Mathematical Model for Transportation Routing in Supply Chain, With a Case Study in DonarKhazar Company. Journal of industrial management, 1 (3): 119-136. (in Persian)
Moon, I., Lee, J.H. & Seong, J. (2012). Vehicle Routing Problem with Time Windows Considering Overtime and Outsourcing Vehicles. Expert Systems with Applications, 39(18): 13202–13213.
Mosheiov, G. (1998). Vehicle Routing with Pickup and Delivery: Tour Partitioning Heuristics. Computers & industrial engineering, 34(3): 669-684.
Mousavi, S.M. & Tavakili-Moghadam, R. (2013). A hybrid simulated annealing for location and routing scheduling problems with cross docking in the supply chain. Journal of manufacturing systems, 32 (2): 335-347.
Novoa, C. & Storer, R. (2009). An Approximate Dynamic Programming Approach for the Vehicle Routing Problem with Stochastic Demands. European Journal of Operational Research, 196(2): 509–515.
Olfat, L. & Barati, M. (2012). An Importance-Performance Analysis of Supply Chain Relationships Metrics in Small and Medium Sized Enterprises in Automotive Parts Industry. Journal of industrial management. 4 (2): 21-42.
Osvald, A. & Strin, L.Z. (2008). A Vehicle Routing Algorithm for the Distribution of Fresh Vegetables and Similar perishable Food. Journal of food engineering, 85(2): 285-292.
Pandelis, D.G., Kyriakidis, E.G. & Dimitrakos, T.D. (2012). Single Vehicle Routing Problems with A Predefined Customer Sequence Compartmentalized Load and Stochastic Demands. European Journal of Operational Research, 217(2): 324–332.
Polimeni, A. & Vitetta, A. (2012). An approach for solving vehicle routing problem with link cost variability in the time. Procedia - Social and Behavioral Sciences, 39: 607 – 621.
Razavi, M., Sokhakian, M.A. & Ziarati, K. (2010). A Meta heuristic algorithms based on ant colony system for solving multi depots location-routing problem with multiple using of vehicle. Journal of industrial management, 3 (6): 17-38. (in Persian)
Razmi, J. & Yousefi, M. (2012). A new mathematical model for schools service routing problem and solving by proposed algorithm. Journal of Industrial engineering, 46 (2): 185-194.(in Persian)
Razmi, J., Hale, H. & Ezati, B. (2011). Designing a dynamic model Transit routing and its solution by ant algorithm, Industrial Engineering and Sharif Management, 26 (2): 65-70. (in Persian)
Reimann, M., Doerner, K. & Hartl, R.F. (2004). D-Ants: Savings Based Ants Divide and Conquer the Vehicle Routing Problem. Computers & operations research, 31(4): 563-591.
Salehipour, A. & Sepehri, M.M. (2013). A new model for mobile repairer problem based mixed integer programming. International journal of industrial engineering & production management, 23 (3): 284-292. (in Persian)
Santos, F.A., Mateus, G.R. & Cunha, A.S.D. (2011). A Branch-and-Price Algorithm for a Vehicle Routing Problem with Cross-Docking. Electronic Notes in Discrete Mathematics, 37: 249–254.
Sepehri, M. & Hosseini Motlagh, S. (2009). Optimize routing of transportation systems in automated warehouses, Journal of transportation research, 5 (2): 127-138. (in Persian)
Sepehri, M.M. & Satak, M. (2005). Modeling and solving of different vehicle routing problem with carrying load in the back in with unequal capabilities. Journal of Transportation, 1 (1): 23-33.(in Persian)
Shahin Moghadam, S,. Fatemi Ghomi, S.M.T. & Karimi, B. (2014). Vehicle routing scheduling problem with cross docking and split deliveries, Computers & chemical engineering, 69 (3): 98-107.
Soltani, R. & Sajjadi, S.J. (2010). Scheduling Trucks in Cross-Docking Systems: A Robust Meta-Heuristics approach. Journal of Transportation Research Part E, 46(5): 650-666.
Sung, C.S. & Song, S.H. (2003). Integrated Service Network Design for a Cross-Docking Supply Chain Network. Journal of the Operational Research Society, 54(12): 1283-1295.
Taghavifard, M., Sheikh, K. & Shahsavari, A., (2008). Modified ant colony algorithm for the vehicle routing problem with time windows. International journal of industrial engineering & production management, 20 (2): 23-30. (in Persian)
Taillard, E., Badeau, P., Gendreau, M., Guertin, F. & Potvin, J.Y. (1997). A TABU Search Heuristic for the Vehicle Routing Problem with Soft Time Windows. Transportation Science, 31(2): 170–186.
Tan, K.C., Lee, L.H., Zhu, Q.L. & Ou, K. (2001). Heuristic Methods for Vehicle Routing Problem with Time Windows. Artificial Intelligence in engineering, 15 (3): 281-295.
Tan, W.F., Lee, L.S., Majid, Z.A. & Seow, H.V. (2012). Ant Colony Optimization for Capacitated Vehicle Routing Problem. Journal of Computer Science, 8 (6): 846-852.
Tang, J., Zhang, J. & Pan, Z. (2010) A Scatter search for solving vehicle routing problem with loading cost. Expert Systems with Applications, 37 (6): 4073-4083.
Tareghian, H.R., Farahi, M.H. & Modaresi, T. (2009). Determining the number of kanbans by scatter search algorithm, science journal of Shahid Chamran university of Ahvaz, 3 (20): 24-35. (in Persian)
Tavakoli Moghadam, R., Alinaghian, M. & Salamat-Bakhsh, A.R. (2010). A new mathematical programming model for a vehicle routing problem in a competitive environment: a real case study. Journal of transportation research, 4 (21): 311-323. (in Persian)
Tavakoli Moghadam, R., Alinaghian, M., Norouzi, N. & Salamat-Bakhsh, A. (2012). Solving a new model for vehicle routing problem with safety consideration in dangerous material transportation, Transportation engineering, 3 (7): 223-237. (in Persian)
Tavakoli Moghadam, R., Joulai, F. & Ghandi Bidgoli, S. (2009). Solving of parallel machine scheduling with weighted earliness-tardiness by multi objective scatter search. Journal of faculty of engineering (university of Tehran), 42 (7): 923-934. (in Persian)
Tavakoli-Moghadam, R., Rabbani, M., Shariat, M.A. & Safaee, N. (2006). Vehicle routing problem with soft time windows using an integrated meta-heuristic algorithm. Journal of faculty of engineering (university of Tehran), 40 (4): 469-476. (in Persian)
Tizroo, A., Azar, A., Ahmadi, R. & Rafeei, M. (2011). Modeling agility of supply chain case study: Zobahan co. journal of industrial management, 3 (7): 17-36.
Vahdani, B. & Zandieh, M. (2010). Scheduling Trucks in Cross-Docking Systems: Robust Meta-Heuristics. Computers & Industrial Engineering, 58 (1): 12–24.
Vincius, W.C.M., Geraldo, R.M. & Thiago, F.N. (2014). Iterated local search heuristics for the vehicle routing problem with Cross-Docking. Expert systems with applications, 41 (16): 7495-7506.
Wang J. (2009). Apply particle swarm optimization to solve the vehicle routing problem with cross docking in the supply chain. Department of Industrial Management - National Taiwan University of Science and Technology.
Wen, M., Larsen, J., Clausen, J., Cordeau, J-F. & Laporte, G. (2009). Vehicle Routing with Cross- Docking. Journal of the Operational Research Society, 60 (12): 1708–1718.
Yousefi Khoshbakht, M. & Rahmati, F. (2011). An improved ant colony system for solving the vehicle routing problem with simultaneous pickup and delivery, Journal of transportation research, 8 (2): 183-198. (in Persian)
Yousefi Khoshbakht, M., Didehvar, F., Rahmati, F. & Sedighpoor, M. (2012). An effective imperialist competitive algorithm for solving the open vehicle routing problem, Journal of transportation research, 9 (1): 83-95.
(in Persian)
)
