Abstract
In some manufacturing industries, starting raw material size is critical to determining how much material will be scrapped by the end of a process. Process planners working in aluminum profile extrusion industry, for example, need to select appropriate aluminum billet sizes to be extruded to meet specific customer orders while minimizing resulting scraps. In this research, extrusion process is classified according to how billets are extruded, namely multiple extrusions per billet and multiple billets per extrusion. Mass balance equations for each configuration are used to formulate a yield optimization problem where billets are pre-cut to specific sizes and kept in stock. Both models are non-linear and discrete. The solution procedure is developed using an enumeration technique to identify the optimal solution. It is validated with extrusion data from an industrial company. Its effectiveness is demonstrated using various case studies.
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References
Grand View Research. https://www.grandviewresearch.com/industry-analysis/aluminum-extrusion-market.
Tabucanon, M.T., Treewannakul, T.: Scrap reduction in the extrusion process: the case of an aluminium production system. Appl. Math. Modelling 11, 141–145 (1987). https://doi.org/10.1016/0307-904X(87)90158-2
Masri, K., Warburton, A.: Optimizing the yield of an extrusion process in the aluminum industry. In: Tamiz, M. (ed.) Multi-Objective Programming and Goal Programming. LNE, vol. 432, pp. 107–115. Springer, Heidelberg (1996). https://doi.org/10.1007/978-3-642-87561-8_9
Masri, K., Warburton, A.: Using optimization to improve the yield of an aluminum extrusion plant. J. Oper. Res. Socy. 49(11), 1111–1116 (1998). https://doi.org/10.1057/palgrave.jors.2600616
Hajeeh, M.A.: Optimizing an aluminum extrusion process. J. Math. Stat. 9(2), 77–83 (2013). https://doi.org/10.3844/jmssp.2013.77.83
Reggiani, B., Segatori, A., Donati, L., Tomesani, L.: Prediction of charge welds in hollow profiles extrusion by FEM simulations and experimental validation. Intl. J. Adv. Manuf. Technol 69, 1855–1872 (2013). https://doi.org/10.1007/s00170-013-5143-2
Oza, V.G., Gotowala, B.: Analysis and optimization of extrusion process using Hyperworks. Int. J. Sci. Res. Dev. 2(8), 441–444 (2014)
Ferras, A.F., Almeida, F. De, Silva, E. C, Correia, A., Silva, F.J.G.: Scrap production of extruded aluminum alloys by direct extrusion. Procedia Manufacturing, 38, 1731–1740 (2019). https://doi.org/10.1016/j.promfg.2020.01.100
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Hassamontr, J., Leephaicharoen, T. (2021). Modeling of Aluminum Profile Extrusion Yield: Pre-cut Billet Sizes. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2020. Advances in Intelligent Systems and Computing, vol 1324. Springer, Cham. https://doi.org/10.1007/978-3-030-68154-8_41
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DOI: https://doi.org/10.1007/978-3-030-68154-8_41
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