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Crossdock truck scheduling with time windows: earliness, tardiness and storage policies

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Abstract

This article proposes to simultaneously plan inbound and outbound truck arrivals and departures in a cross-docking platform, as well as the internal pallet handling. The objective is to minimize both the total number of pallets put in storage and the dissatisfaction of the transportation providers, by creating a truck schedule as close as possible to the wished schedule they communicate in advance. The problem is modeled with an integer program tested on generated instances to assess its performance, especially regarding the computation time. The problem is proven to be np-hard in the strong sense. Since the execution takes too long to be used on a daily basis by platform managers, three heuristics are also proposed and tested. Two are based on integer programs solved sequentially, the third one is a tabu search in which the storage part of the objective function is evaluated by a maximum flow model in a graph. Numerical experiments show in which conditions each heuristic performs best, which can help choosing a solution method when confronted to a real-life problem.

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Notes

  1. grasp stands for Greedy Randomized Adaptive Search Procedure.

  2. First In, First Out.

References

  • Ahuja, R. K., Magnati, T. L., & Orlin, J. B. (1993). Network flows: Theory, algorithms and applications. Upper Saddle River, NJ: Prentice Hall.

    Google Scholar 

  • Álvarez Pérez, G. A., González-Velarde, J. L., & Fowler, J. W. (2009). Crossdocking—Just in time scheduling: An alternative solution approach. Journal of the Operational Research Society, 60(4), 554–564.

    Article  Google Scholar 

  • Apte, U. M., & Viswanathan, S. (2000). Effective cross docking for improving distribution efficiencies. International Journal of Logistics Research and Applications, 3(3), 291–302.

    Article  Google Scholar 

  • Baud-Lavigne, B., Bassetto, S., & Agard, B. (2014). A method for a robust optimization of joint product and supply chain design. Journal of Intelligent Manufacturing. doi:10.1007/s10845-014-0908-5.

  • Boloori Arabani, A., Fatemi Ghomi, S. M. T., & Zandieh, M. (2011). Meta-heuristics implementation for scheduling of trucks in a cross-docking system with temporary storage. Expert Systems with Applications, 38(3), 1964–1979.

    Article  Google Scholar 

  • Boysen, N. (2010). Truck scheduling at zero-inventory cross docking terminals. Computers & Operations Research, 37(1), 32–41.

    Article  Google Scholar 

  • Boysen, N., & Fliedner, M. (2010). Cross dock scheduling: Classification, literature review and research agenda. Omega, 38(6), 413–422.

    Article  Google Scholar 

  • Bozer, Y. A., & Carlo, H. J. (2008). Optimizing inbound and outbound door assignments in less-than-truckload crossdocks. IIE Transactions, 40(11), 1007–1018.

    Article  Google Scholar 

  • Chmielewski, A., Naujoks, B., Janas, M., & Clausen, U. (2009). Optimizing the door assignment in LTL-terminals. Transportation Science, 43(2), 198–210.

    Article  Google Scholar 

  • Eracar, Y. A., & Kokar, M. M. (2014). Using UML and OCL for representing multiobjective combinatorial optimization problems. Journal of Intelligent Manufacturing, 25(3), 555–569.

    Article  Google Scholar 

  • Fazel Zarandi, M. H., Khorshidian, H., & Shirazi. M. A. (2014). A constraint programming model for the scheduling of JIT cross-docking systems with preemption. Journal of Intelligent Manufacturing. doi:10.1007/s10845-013-0860-9.

  • Garey, M. R., & Johnson, D. S. (1979). Computers and intractability: A guide to the theory of NP-completeness. New York: WH Freeman.

  • Glover, F. (1986). Future paths for integer programming and links to artificial intelligence. Computers & Operations Research, 13(5), 533–549.

    Article  Google Scholar 

  • Golias, M. M., Ivey, S., Haralambides, H. E., & Saharidis, G. K. D. (2010). Maximizing throughput and minimizing tardiness and earliness at a cross dock facility: Biobjective formulation. Transportation Research Board 89th Annual Meeting (pp. 1–14). Washington DC.

  • Gu, J., Goetschalckx, M., & McGinnis, L. F. (2007). Research on warehouse operation: A comprehensive review. European Journal of Operational Research, 177(1), 1–21.

    Article  Google Scholar 

  • Gue, K. R. (1999). The effects of trailer scheduling on the layout of freight terminals. Transportation Science, 33(4), 419–428.

    Article  Google Scholar 

  • Hung, T. C., & Chan, K. Y. (2013). Uncertainty quantifications of Pareto optima in multiobjective problems. Journal of Intelligent Manufacturing, 24(2), 385–395.

    Article  Google Scholar 

  • Kristianto, Y., Helo, P., & Jiao, R. J. (2013). Mass customization design of engineer-to-order products using Benders’ decomposition and bi-level stochastic programming. Journal of Intelligent Manufacturing, 24(5), 961–975.

    Article  Google Scholar 

  • Larbi, R., Alpan, G., Baptiste, P., & Penz, B. (2011). Scheduling cross docking operations under full, partial and no information on inbound arrivals. Computers & Operations Research, 38(6), 889–900.

    Article  Google Scholar 

  • Li, Y., Lim, A., & Rodrigues, B. (2004). Crossdocking—JIT scheduling with time windows. Journal of the Operational Research Society, 55(12), 1342–1351.

    Article  Google Scholar 

  • Lim, A., Ma, H., & Miao, Z. (2006a). Truck dock assignment problem with operational time constraint within crossdocks. In M. Ali & R. Dapoigny (Eds.), Advances in applied artificial intelligence, lecture notes in computer science, (Vol. 4031, pp. 262–271). Berlin, Heidelberg: Springer.

  • Lim, A., Ma, H., & Miao, Z. (2006b). Truck dock assignment problem with time windows and capacity constraint in transshipment network through crossdocks. In M. Gavrilova, O. Gervasi, V. Kumar, C. Tan, D. Taniar, A. Laganá, Y. Mun, & H. Choo (Eds.), Computational science and applications, lecture notes in computer science (Vol. 3982, pp. 688–697)., Berlin, Heidelberg: Springer.

  • McWilliams, D. L., Stanfield, P. M., & Geiger, C. D. (2005). The parcel hub scheduling problem: A simulation-based solution approach. Computers & Industrial Engineering, 49(3), 393–412.

    Article  Google Scholar 

  • McWilliams, D. L., Stanfield, P. M., & Geiger, C. D. (2008). Minimizing the completion time of the transfer operations in a central parcel consolidation terminal with unequal-batch-size inbound trailers. Computers & Industrial Engineering, 54(4), 709–720.

  • McWilliams, D. L. (2009a). A dynamic load-balancing scheme for the parcel hub-scheduling problem. Computers & Industrial Engineering, 57(3), 958–962.

  • McWilliams, D. L. (2009b). Genetic-based scheduling to solve the parcel hub scheduling problem. Computers & Industrial Engineering, 56(4), 1607–1616.

    Article  Google Scholar 

  • Miao, Z., Lim, A., & Ma, H. (2009). Truck dock assignment problem with operational time constraint within crossdocks. European Journal of Operational Research, 192(1), 105–115.

    Article  Google Scholar 

  • Napolitano, M. (2000). Making the move to cross docking: A practical guide to planning, designing and implementing a cross dock operation. Oak Brook: Warehousing Education & Research Council.

  • Rebai, M., Kacem, I., & Adjallah, K. H. (2012). Earlinesstardiness minimization on a single machine to schedule preventive maintenance tasks: Metaheuristic and exact methods. Journal of Intelligent Manufacturing, 23(4), 1207–1224.

    Article  Google Scholar 

  • Rosales, C. R., Fry, M. J., & Radhakrishnan, R. (2009). Transfreight reduces costs and balances workload at Georgetown crossdock. Interfaces, 39(4), 316–328.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Sauvey, C., & Sauer, N. (2012). A genetic algorithm with genes-association recognition for flowshop scheduling problems. Journal of Intelligent Manufacturing, 23(4), 1167–1177.

    Article  Google Scholar 

  • Tsui, L. Y., & Chang, C. H. (1990). A microcomputer based decision support tool for assigning dock doors in freight yards. Computers & Industrial Engineering, 19(1–4), 309–312.

    Article  Google Scholar 

  • Vahdani, B., & Zandieh, M. (2010). Scheduling trucks in cross-docking systems: Robust meta-heuristics. Computers & Industrial Engineering, 58(1), 12–24.

    Article  Google Scholar 

  • Van Belle, J., Valckenaers, P., & Cattrysse, D. (2012). Cross-docking: State of the art. Omega, 40(6), 827–846.

    Article  Google Scholar 

  • Vis, I. F. A., & Roodbergen, K. J. (2008). Positioning of goods in a cross-docking environment. Computers & Industrial Engineering, 54(3), 677–689.

    Article  Google Scholar 

  • Vogt, J. J. (2010). The successful cross-dock based supply chain. Journal of Business Logistics, 31(1), 99–119.

    Article  Google Scholar 

  • Werners, B., & Wülfing, T. (2010). Robust optimization of internal transports at a parcel sorting center operated by Deutsche Post World Net. European Journal of Operational Research, 201(2), 419–426.

    Article  Google Scholar 

  • Yu, V. F., Sharma, D., & Murty, K. G. (2008). Door allocations to origins and destinations at less-than-truckload trucking terminals. Journal of Industrial and Systems Engineering, 2(1), 1–15.

    Google Scholar 

  • Zhu, Y. R., Hahn, P. M., Liu, Y., Guignard, M. (2009). New approach for the cross-dock door assignment problem. In XLI Brazilian Symposium on Operations Research. Porto Seguro, Brazil.

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Acknowledgments

G-SCOP is partner of the LabEx PERSYVAL-Lab (ANR–11-LABX-0025).

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Authors and Affiliations

  1. Univ. Grenoble Alpes, G-SCOP, 46 av. Félix Viallet, 38000, Grenoble, France

    Anne-Laure Ladier & Gülgün Alpan

  2. CNRS, G-SCOP, 46 av. Félix Viallet, 38000, Grenoble, France

    Anne-Laure Ladier & Gülgün Alpan

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  1. Anne-Laure Ladier
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  2. Gülgün Alpan
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Correspondence to Anne-Laure Ladier.

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Ladier, AL., Alpan, G. Crossdock truck scheduling with time windows: earliness, tardiness and storage policies. J Intell Manuf 29, 569–583 (2018). https://doi.org/10.1007/s10845-014-1014-4

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