References
- Agustina, D., C. K. M. Lee, and R. Piplani. 2010. “A Review: Mathematical Models for Cross Docking Planning.” International Journal of Engineering Business Management 2: 47–54. doi:10.5772/9717.
- Alpan, G., A.-L. Ladier, R. Larbi, and B. Penz. 2011. “Heuristic Solutions for Transshipment Problems in a Multiple Door Cross Docking Warehouse.” Computers & Industrial Engineering 61 (2): 402–408. doi:10.1016/j.cie.2010.09.010.
- Álvarez-Pérez, G. A., J. L. González-Velarde, and J. W. Fowler. 2009. “Crossdocking-Just in Time Scheduling: An Alternative Solution Approach.” Journal of the Operational Research Society 60 (4): 554–564. doi:10.1057/palgrave.jors.2602590.
- Bala, K., D. Brcanov, and N. Gvozdenović. 2017. “Two-echelon Location Routing Synchronized with Production Schedules and Time Windows.” Central European Journal of Operations Research 25 (3): 525–543. doi:10.1007/s10100-016-0463-6.
- Bartholdi, J. J., and K. R. Gue. 2004. “The Best Shape for a Crossdock.” Transportation Science 38 (2): 235–244. doi:10.1287/trsc.1030.0077.
- Boloori Arabani, A. R., S. M. T. Fatemi Ghomi, and M. Zandieh. 2011. “Meta-heuristics Implementation for Scheduling of Trucks in a Cross-docking System with Temporary Storage.” Expert Systems with Applications 38 (3): 1964–1979. doi:10.1016/j.eswa.2010.07.130.
- Boysen, N.. 2010. “Truck Scheduling At Zero-inventory Cross Docking Terminals.” Computers & Operations Research 37 (1): 32–41. doi:10.1016/j.cor.2009.03.010.
- Boysen, N., and M. Fliedner. 2010. “Cross Dock Scheduling: Classification, Literature Review and Research Agenda.” Omega 38 (6): 413–422. doi:10.1016/j.omega.2009.10.008.
- Briskorn, D., and E. Pesch. 2013. “Variable Very Large Neighbourhood Algorithms for Truck Sequencing at Transshipment Terminals.” International Journal of Production Research 51 (23–24): 7140–7155. doi:10.1080/00207543.2013.849825.
- Chargui, T., A. Bekrar, M. Reghioui, and D. Trentesaux. 2019. “Proposal of a Multi-agent Model for the Sustainable Truck Scheduling and Containers Grouping Problem in a Road-Rail Physical Internet Hub.” International Journal of Production Research 58: 5477–5501. doi:10.1080/00207543.2019.1660825.
- de Lima, E. B., G. L. Pappa, J. M. de Almeida, M. A. Gonçalves, and W. Meira. 2010. “Tuning Genetic Programming Parameters with Factorial Designs.” In IEEE Congress on Evolutionary Computation, Barcelona, 1–8.
- Dulebenets, M. A.. 2018. “A Comprehensive Evaluation of Weak and Strong Mutation Mechanisms in Evolutionary Algorithms for Truck Scheduling at Cross-docking Terminals.” IEEE Access6: 65635–65650. doi:10.1109/ACCESS.2018.2874439.
- Dulebenets, M. A.. 2019. “A Delayed Start Parallel Evolutionary Algorithm for Just-in-time Truck Scheduling at a Cross-docking Facility.” International Journal of Production Economics 212: 236–258. doi:10.1016/j.ijpe.2019.02.017.
- Fanti, M. P., G. Stecco, and W. Ukovich. 2016. “Scheduling Internal Operations in Post-distribution Cross Docking Systems.” IEEE Transactions on Automation Science and Engineering 13 (1): 296–312. doi:10.1109/TASE.2014.2350031.
- Fonseca, G. B., T. H. Nogueira, and M. G. Ravetti. 2019. “A Hybrid Lagrangian Metaheuristic for the Cross-docking Flow Shop Scheduling Problem.” European Journal of Operational Research 275 (1): 139–154. doi:10.1016/j.ejor.2018.11.033.
- Ghobadian, E., R. Tavakkoli-Moghaddam, H. Javanshir, and M. Naderi-Beni. 2012. “Scheduling Trucks in Cross Docking Systems with Temporary Storage and Dock Repeat Truck Holding Pattern Using GRASP Method.” International Journal of Industrial Engineering Computations 3 (5): 777–786. doi:10.5267/j.ijiec. doi: https://doi.org/10.5267/j.ijiec.2012.08.001
- Guemri, O., P. Nduwayo, R. Todosijević, S. Hanafi, and F. Glover. 2019. “Probabilistic Tabu Search for the Cross-docking Assignment Problem.” European Journal of Operational Research 277 (3): 875–885. doi:10.1016/j.ejor.2019.03.030.
- Gustavsson, J., C. Cederberg, U. Sonesson, R. van Otterdijk, and A. Meybeck. 2011. “Global Food Losses and Food Waste.” Food and Agriculture Organization (FAO) of the United Nations (FAO 2011), Düsseldorf, Germany, p. 29.
- Jedermann, R., M. Nicometo, I. Uysal, and W. Lang. 2014. “Reducing Food Losses by Intelligent Food Logistics.” Philosophical Transactions of The Royal Society A: Mathematical, Physical and Engineering Sciences 372: 20130302. doi:10.1098/rsta.2013.0302.
- Küçükoglu, İ., and N. Öztürk. 2017. “Two-stage Optimisation Method for Material Flow and Allocation Management in Cross-docking Networks.” International Journal of Production Research 55 (2): 410–429. doi:10.1080/00207543.2016.1184346.
- Kumar, R., L. Ganapathy, R. Gokhale, and M. K. Tiwari. 2020. “Quantitative Approaches for the Integration of Production and Distribution Planning in the Supply Chain: A Systematic Literature Review.” International Journal of Production Research 58 (11): 3527–3553. doi:10.1080/00207543.2020.1762019.
- Kuo, J.-C., and M.-C. Chen. 2010. “Developing an Advanced Multi-temperature Joint Distribution System for the Food Cold Chain.” Food Control 21 (4): 559–566. doi:10.1016/j.foodcont.2009.08.007.
- Ladier, A.-L., and G. Alpan. 2016. “Cross-docking Operations: Current Research Versus Industry Practice.” Omega 62: 145–162. doi:10.1016/j.omega.2015.09.006.
- Ladier, A.-L., and G. Alpan. 2018. “Crossdock Truck Scheduling with Time Windows: Earliness, Tardiness and Storage Policies.” Journal of Intelligent Manufacturing 29 (3): 569–583. doi:10.1007/s10845-014-1014-4.
- Li, Y., A. Lim, and B. Rodrigues. 2004. “Crossdocking-JIT Scheduling with Time Windows.” Journal of the Operational Research Society 55 (12): 1342–1351. doi:10.1057/palgrave.jors.2601812.
- Liu, P., Q. Li, W. Liu, M. Duan, Y. Dai, and Y. Wang. 2019. “Temperature Anomaly Detection Based on Gaussian Distribution Hypothesis.” Advances in Intelligent, Interactive Systems and Applications885: 234–240. doi:10.1007/978-3-030-02804-6. doi: https://doi.org/10.1007/978-3-030-02804-6_31
- Miao, Z., A. Lim, and H. Ma. 2009. “Truck Dock Assignment Problem with Operational Time Constraint Within Crossdocks.” European Journal of Operational Research 192 (1): 105–115. doi:10.1016/j.ejor.2007.09.031.
- Nourmohammadi, A., H. Eskandari, M. Fathi, and A. H. C. Ng. 2019. “Integrated Locating In-house Logistics Areas and Transport Vehicles Selection Problem in Assembly Lines.” International Journal of Production Research doi:10.1080/00207543.2019.1701207
- Pan, S., D. Trentesaux, E. Ballot, and G. Q Huang. 2019. “Horizontal Collaborative Transport: Survey of Solutions and Practical Implementation Issues.” International Journal of Production Research 57 (15–16): 5340–5361. doi:10.1080/00207543.2019.1574040.
- Sadykov, R.. 2012. “Scheduling Incoming and Outgoing Trucks at Cross Docking Terminals to Minimize the Storage Cost.” Annals of Operations Research 201 (1): 423–440. doi:10.1007/s10479-012-1232-0.
- Serrano, C., X. Delorme, and A. Dolgui. 2017. “Scheduling of Truck Arrivals, Truck Departures and Shop-floor Operation in a Cross-dock Platform, Based on Trucks Loading Plans.” International Journal of Production Economics 194: 102–112. doi:10.1016/j.ijpe.2017.09.008.
- Seyedi, I., M. Hamedi, and R. Tavakkoli-Moghaddam. 2019. “Truck Scheduling in a Cross-docking Terminal by Using Novel Robust Heuristics.” International Journal of Engineering 32 (2): 296–305.
- Shakeri, M., M. Y. H. Low, S. J. Turner, Lee, E. W.. 2016. “An Efficient Incremental Evaluation Function for Optimizing Truck Scheduling in a Resource-constrained Crossdock Using Metaheuristics.” Expert Systems with Applications 45: 172–184. doi:10.1016/j.eswa.2015.09.041.
- Soto-Silva, W. E., E. Nadal-Roig, M. C. González-Araya, and L. M. Pla-Aragones. 2016. “Operational Research Models Applied to the Fresh Fruit Supply Chain.” European Journal of Operational Research251 (2): 345–355. doi:10.1016/j.ejor.2015.08.046.
- Theophilus, O., M. A. Dulebenets, J. Pasha, O. F. Abioye, and M. Kavoosi. 2019. “Truck Scheduling at Cross-docking Terminals: A Follow-up State-of-the-art Review.” Sustainability 11 (19): 5245. doi:10.3390/su11195245.
- Vahdani, B., and M. Zandieh. 2010. “Scheduling Trucks in Cross-docking Systems: Robust Meta-heuristics.” Computers & Industrial Engineering 58 (1): 12–24. doi:10.1016/j.cie.2009.06.006.
- Van Belle, J., P. Valckenaers, and D. Cattrysse. 2012. “Cross-docking: State of the Art.” Omega40 (6): 827–846. doi:10.1016/j.omega.2012.01.005.
- Wu, X., and A. Che. 2020. “Energy-efficient No-wait Permutation Flow Shop Scheduling by Adaptive Multi-objective Variable Neighborhood Search.” Omega 94: 102117. doi:10.1016/j.omega.2019.102117.
- Wu, T., H. Shen, and C. Zhu. 2015. “A Multi-period Location Model with Transportation Economies-of-scale and Perishable Inventory.” International Journal of Production Economics 169: 343–349. doi:10.1016/j.ijpe.2015.08.018.
- Ye, Y., J. Li, K. Li, and H Fu. 2018. “Cross-docking Truck Scheduling with Product Unloading/loading Constraints Based on an Improved Particle Swarm Optimisation Algorithm.” International Journal of Production Research 56 (16): 5365–5385. doi:10.1080/00207543.2018.1464678.
- Zabihi, F., and R. Sahraeian. 2016. “Trucks Scheduling in a Multi-product Cross Docking System with Multiple Temporary Storages and Multiple Dock Doors.” International Journal of Engineering 29 (11): 1595–1603.
- Zaerpour, N., Y. G. Yu, and R. B. M. de Koster. 2014. “Storing Fresh Produce for Fast Retrieval in an Automated Compact Cross-dock System.” Production and Operations Management 24 (8): 1266–1284. doi:10.1111/poms.2015.24.issue-8. doi: https://doi.org/10.1111/poms.12321
- Zhang, Y. H., Y. J. Gong, W. N. Chen, T. L. Gu, H. Q. Yuan, and J. Zhang. 2019. “A Dual-colony Ant Algorithm for the Receiving and Shipping Door Assignments in Cross-docks.” IEEE Transaction on Intelligent Transportation Systems 20 (7): 2523–2539. doi:10.1109/TITS.6979. doi: https://doi.org/10.1109/TITS.2018.2867577
- Zheng, F., and Y. Pang. 2019. “A GRASP Algorithm for Trailer Scheduling of Crossdock Operations in Cold-chain Logistics.” 2019 International Conference on Industrial Engineering and Systems Management (IESM), Shanghai, China, Article: 8948161.
- Zulvia, F. E., R. J. Kuo, and D. Y Nugroho. 2020. “A Many-objective Gradient Evolution Algorithm for Solving a Green Vehicle Routing Problem with Time Windows and Time Dependency for Perishable Products.” Journal of Cleaner Production 242: 118428. doi:10.1016/j.jclepro.2019.118428.