Abstract
We present a new loading/unloading trailer scheduling problem for a logistics company. There is a building with several warehouses. Each warehouse stores pallets of different types of products in rooms for loading into trailers. Each warehouse has two gates. One gate is for the trailers, and the other one is for two forklifts from the central zone (production line). It produces some products which must be placed in warehouses according to the no wait rule. We assume that the arrival time for each trailer is uncertain. Our goal is to assign all trailers to warehouses and find a schedule for servicing all the trailers with the maximum stability radius under the total waiting time constraint. For this NP-hard problem, we design a two-stage matheuristic. First, we solve the simplified model using the Gurobi solver. Then the VNS algorithm is used to return the solution into the feasible domain taking into account the detailed information about pallets in each warehouse. We generate some test instances using real data from a Dutch logistics company. Computational results for 6 warehouses, 18 types of products, and 90 trailers are discussed.




REFERENCES
E. Carrizosa and S. Nickel, “Robust facility location,” Math. Methods Oper. Res. 58, 331–349 (2003).
E. Carrizosa, A. Ushakov, and I. Vasilyev, “Threshold robustness in discrete facility location problems: A bi-objective approach,” Optim. Lett. 9, 1297–1314 (2015).
P. Borisovsky and O. Battaia, “MIP-based heuristics for a robust transfer lines balancing problem,” in Optimization and Applications. Proc. Int. Conf. OPTIMA 2021 (Petrovac, Montenegro, September 27–October 1, 2021), vol. 13078 of Lect. Notes Comput. Sci. (Springer, Heidelberg, 2021), pp. 123–135.
T. Andersen, J. H. Hove, K. Fagerholt, and F. Meisel, “Scheduling ships with uncertain arrival times through the Kiel Canal,” Maritime Transp. Res. 2, 100008 (2021).
A. Ben-Tal and A. Nemirovski, “Robust optimization—methodology and applications,” Math. Program. 92, 453–480 (2002).
J. Garc´ıa and A. Peña, “Robust optimization: Concepts and applications,” in Nature-Inspired Methods for Stochastic, Robust and Dynamic Optimization (IntechOpen, London, 2018), pp. 7–22.
Eh. N. Gordeev and V. K. Leont’ev, “A general approach to the study of the stability of solutions in discrete optimization problems,” Zh. Vychisl. Mat. Mat. Fiz. 36 (1), 66–72 (1996) [Comput. Math. Math. Phys. 36 (1), 53–58 (1996)].
E. Gurevsky, O. Battaia, and A. Dolgui, “Stability measure for a generalized assembly line balancing problem,” Discrete Appl. Math. 161 (3), 377–394 (2013).
A. Rossi, E. Gurevsky, O. Battaia, and A. Dolgui, “Maximizing the robustness for simple assembly lines with fixed cycle time and limited number of workstations,” Discrete Appl. Math. 208, 123–136 (2016).
Gurobi Optimizer Reference Manual (Gurobi Opt., Beaverton, 2021). www.gurobi.com/documentation/9.5/refman/index.html . Accessed May 16, 2022.
M. R. Garey and D. S. Johnson, Computers and Intractability: A Guide to the Theory of NP-Completeness (Freeman, San Francisco, 1979; Mir, Moscow, 1982).
I. N. Kulachenko and P. A. Kononova, “A hybrid local search algorithm for consistent periodic vehicle routing problem,” Diskretn. Anal. Issled. Oper. 27 (2), 43–64 (2020) [J. Appl. Ind. Math. 14 (2), 339–351 (2020)].
I. N. Kulachenko and P. A. Kononova, “A hybrid algorithm for the drilling rig routing problem,” Diskretn. Anal. Issled. Oper. 28 (2), 35–59 (2021) [J. Appl. Ind. Math. 15 (2), 261–276 (2021)].
N. Mladenović and P. Hansen, “Variable neighborhood search,” Comput. Oper. Res. 24 (11), 1097–1100 (1997).
A. E. Smith and D. W. Coit, “Penalty functions,” in Handbook of Evolutionary Computation (Oxford Univ. Press, New York, 1997), pp. C5.2:1–C5.2:6.
Funding
This work was supported by the Russian Science Foundation, project no. 21–41–09017.
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Translated by V. Potapchouck
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Ratushnyi, A.V., Kochetov, Y.A. Matheuristics for Waiting Time Minimization for Trailers with Uncertain Arrival Times. J. Appl. Ind. Math. 16, 540–549 (2022). https://doi.org/10.1134/S1990478922030176
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DOI: https://doi.org/10.1134/S1990478922030176