Abstract
Large amounts of airfreight are loaded on pallets and containers for transport every day. Especially in the air cargo sector, fast and efficient pallet loading is crucial for smooth operations. Recently, scholars have proposed AI-optimized solutions for the pallet loading problem that include strongly heterogenous cargo. However, finding packing sequences that determine item loading order, receive scant attention in literature. In this research, we develop a design to solve the physical packing sequence problem that comprises requirements, features, and fitness criteria to equip an algorithm that automatically finds a physical packing sequence for a given cargo arrangement. We derive our algorithm based on previous findings and practical insights from a collaboration with a major cargo carrier. Also, we provide an integration design in combination with optimization heuristics. Our approach is implemented in a prototype, demonstrated, and evaluated on a set of real-world cargo data. Our findings reveal both the ability to find packing sequences in reasonable time and the ability to identify improvement potential with respect to stability.
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References
Brandt, F., Nickel, S.: The air cargo load planning problem - a consolidated problem definition and literature review on related problems. Eur. J. Oper. Res. 275, 399–410 (2019). https://doi.org/10.1016/j.ejor.2018.07.013
Lee, N.-S., Mazur, P.G., Bittner, M., Schoder, D.: An intelligent decision support system for air cargo palletizing. In: Bui, T. (ed.) Proceedings of the 54st Hawaii International Conference on System Sciences. Proceedings of the Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (2021). https://doi.org/10.24251/HICSS.2021.170
Bortfeldt, A., Wäscher, G.: Constraints in container loading – A state-of-the-art review. Eur. J. Oper. Res. 229, 1–20 (2013). https://doi.org/10.1016/j.ejor.2012.12.006
Dowsland, K.A.: An exact algorithm for the pallet loading problem. Eur. J. Oper. Res. 31, 78–84 (1987). https://doi.org/10.1016/0377-2217(87)90140-8
Ramos, A.G., Oliveira, J.F., Lopes, M.P.: A physical packing sequence algorithm for the container loading problem with static mechanical equilibrium conditions. Int. Trans. Oper. Res. 23, 215–238 (2016). https://doi.org/10.1111/itor.12124
Kramer, O.: Genetic Algorithm Essentials. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-52156-5
Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24, 45–77 (2007). https://doi.org/10.2753/MIS0742-1222240302
Bischoff, E.E., Ratcliff, M.: Issues in the development of approaches to container loading. Omega 23, 377–390 (1995). https://doi.org/10.1016/0305-0483(95)00015-G
Ngoi, B.K.A., Tay, M.L., Chua, E.S.: Applying spatial representation techniques to the container packing problem. Int. J. Prod. Res. 32, 111–123 (1994). https://doi.org/10.1080/00207549408956919
Liu, W.-Y., Lin, C.-C., Yu, C.-S.: On the three-dimensional container packing problem under home delivery service. Asia Pac. J. Oper. Res. 28, 601–621 (2011). https://doi.org/10.1142/S0217595911003466
Mazur, P.G., Lee, N.-S., Schoder, D.: Integration of physical simulations in static stability assessments for pallet loading in air cargo. In: Winter Simulation Conference (WSC). IEEE (2020). https://doi.org/10.1109/WSC48552.2020.9383878
Paquay, C., Schyns, M., Limbourg, S.: A mixed integer programming formulation for the three-dimensional bin packing problem deriving from an air cargo application. Int. Trans. Oper. Res. 23, 187–213 (2014). https://doi.org/10.1111/itor.12111
Nascimento, O.X.d., Alves de Queiroz, T., Junqueira, L.: Practical constraints in the container loading problem: comprehensive formulations and exact algorithm. Comput. Oper. Res. 128, 105186 (2021). https://doi.org/10.1016/j.cor.2020.105186
Chan, F.T., Bhagwat, R., Kumar, N., Tiwari, M.K., Lam, P.: Development of a decision support system for air-cargo pallets loading problem: a case study. Expert Syst. Appl. 31, 472–485 (2006). https://doi.org/10.1016/j.eswa.2005.09.057
Junqueira, L., Morabito, R., Sato Yamashita, D.: MIP-based approaches for the container loading problem with multi-drop constraints. Ann. Oper. Res. 199, 51–75 (2012). https://doi.org/10.1007/s10479-011-0942-z
Masood, S.H., A. Khan, H.: Development of pallet pattern placement strategies in robotic palletisation. Assembly Autom. 34, 151–159 (2014). doi: https://doi.org/10.1108/AA-12-2012-092
Junqueira, L., Morabito, R., Sato Yamashita, D.: Three-dimensional container loading models with cargo stability and load bearing constraints. Comput. Oper. Res. 39, 74–85 (2012). https://doi.org/10.1016/j.cor.2010.07.017
Ramos, A.G., Oliveira, J.F.: Cargo stability in the container loading problem - state-of-the-art and future research directions. In: Vaz, A.I.F., Almeida, J.P., Oliveira, J.F., Pinto, A.A. (eds.) APDIO 2017. SPMS, vol. 223, pp. 339–350. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-71583-4_23
Bracht, E.C., Queiroz, T.A. de, Schouery, R.C.S., Miyazawa, F.K.: Dynamic cargo stability in loading and transportation of containers. In: IEEE International Conference on Automation Science and Engineering (CASE), pp. 227–232 (2016). https://doi.org/10.1109/COASE.2016.7743385
Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. Manag. Inf. Syst. Q. 28, 75–105 (2004). https://doi.org/10.2307/25148625
Rothlauf, F.: Representations for Genetic and Evolutionary Algorithms. Springer, Heidelberg (2006). https://doi.org/10.1007/3-540-32444-5
Zhao, X., Bennell, J.A., Bektaş, T., Dowsland, K.: A comparative review of 3D container loading algorithms. Int. Trans. Oper. Res. 23, 287–320 (2016). https://doi.org/10.1111/itor.12094
Raidl, G.R., Kodydek, G.: Genetic algorithms for the multiple container packing problem. In: Goos, G., et al. (eds.) Parallel Problem Solving from Nature -- PPSN V. Lecture Notes in Computer Science, vol. 1498, pp. 875–884. Springer, Heidelberg (1998). https://doi.org/10.1007/BFb0056929
Marian, R.M., Luong, L.H., Abhary, K.: A genetic algorithm for the optimisation of assembly sequences. Comput. Ind. Eng. 50, 503–527 (2006). https://doi.org/10.1016/j.cie.2005.07.007
Smith, G.C., Smith, S.S.-F.: An enhanced genetic algorithm for automated assembly planning. Robot. Comput-Integr. Manuf. 18, 355–364 (2002). https://doi.org/10.1016/S0736-5845(02)00029-7
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Mazur, P.G., Lee, NS., Schoder, D., Janssen, T. (2021). Designing a Physical Packing Sequence Algorithm with Static Stability for Pallet Loading Problems in Air Cargo. In: Mes, M., Lalla-Ruiz, E., Voß, S. (eds) Computational Logistics. ICCL 2021. Lecture Notes in Computer Science(), vol 13004. Springer, Cham. https://doi.org/10.1007/978-3-030-87672-2_41
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