Abstract
With global development, companies need to seek opportunities for improvement and act accordingly to ensure the optimization of industrial production processes. Companies also try to ensure the quality of the final product, reducing process costs to increase the company’s sustainability. Many industries are going through restructuring processes and new challenges are emerging.
The present investigation respects to the operations of an industrial unit, which produces rubberized cork agglomerates. Cork industry invests in search for new products, increasing its competitiveness in the market, expanding its range of products and promoting a better flow of this limited natural resource. This work identifies the causes behind some problems in terms of the final product quality, allowing the creation of corrective actions and opportunities for improvement in terms of product quality, working conditions and product line optimization. It is known that linear programming can make a strong contribution to the optimization of processes within companies. This work presents the application of linear programming as a tool through which it was possible to optimize the discharge process of chemicals from the production line, reorganizing the locker arrangement, and obtaining a reduction in the time spent in production operations of certain articles.
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References
Silva, F.J.G., Gouveia, R.M.: Cleaner Production – Toward a Better Future. Springer Nature, Cham (2020). ISBN: 978-3-030-23165-1
Gil, L.: A cortiça como material de construção – Manual Técnico (In Portuguese). Available online: https://www.academia.edu/9138885/A_cortiça_como_material_de_construção (2007). Accessed on 14 Apr 2021
Marinho, P., Pimentel, D., Casais, R., Silva, F.J.G., Sá, J.C., Ferreira, L.P.: Selecting the best tools and framework to evaluate equipment malfunctions and improve the OEE in the cork industry. Int. J. Ind. Eng. Manag. 12(4), 1–13 (2021). https://doi.org/10.24867/IJIEM-2021-4-295
Sousa, E., Silva, F.J.G., Ferreira, L.P., Pereira, M.T., Gouveia, R., Silva, R.P.: Applying SMED methodology in cork stoppers production. Procedia Manuf. 17, 611–622 (2018). https://doi.org/10.1016/j.promfg.2018.10.103
Gil, L.: Cork composites: a review. Materials. 2(3), 776–789 (2009). https://doi.org/10.3390/ma2030776
Gürgena, S., Sofuoğlu, M.A.: Smart polymer integrated cork composites for enhanced vibration damping properties. Compos. Struct. 258, 113200 (2021). https://doi.org/10.1016/j.compstruct.2020.113200
Costa, M.J.R., Gouveia, R.M., Silva, F.J.G., Campilho, R.D.S.G.: How to solve quality problems by advanced fully-automated manufacturing systems. Int. J. Adv. Manuf. Technol. 94, 3041–3063 (2018). https://doi.org/10.1007/s00170-017-0158-8
Wikarek, J., Sitek, P., Nielsen, P.: Model of decision support for the configuration of manufacturing system. IFAC PapersOnLine. 52(13), 826–831 (2019). https://doi.org/10.1016/j.ifacol.2019.11.232
Martins, M., Godina, R., Pimentel, C., Silva, F.J.G., Matias, J.C.O.: A practical study of the application of SMED to electron-beam machining in automotive industry. Procedia Manuf. 17, 647–654 (2018). https://doi.org/10.1016/j.promfg.2018.10.113
Rafael, A.: Programação Linear e Algumas Extensões (In Portuguese). MSc dissertation in Mathematics for Teaching. Mathematics Department, Faculty of Sciences, University of Porto, Portugal, p. 76 (2014)
Burgard, S.: Análise e Melhoria dos Processos Produtivos numa Unidade Industrial de Cortiça e Borracha (In Portuguese). MSc dissertation in Mechanical Engineering, Department of Mechanical Engineering, Faculty of Engineering, University of Porto, p. 63. (2016)
Chen, D., Zhong, Y., Liao, Y., Li, L.: Review of multiple criteria and multiple constraint-level linear programming. Procedia Comput. Sci. 17, 158–165 (2013). https://doi.org/10.1016/j.procs.2013.05.022
Serrano-Hernandez, A., Cadarso, L., Faulin, J.: A strategic multistage tactical two-stage stochastic optimization model for the airline fleet management problem. Transp. Res. Proc. 47, 473–480 (2020). https://doi.org/10.1016/j.trpro.2020.03.152
Marchetti, P.A., Cerdá, J.: An approximate framework for large multistage batch scheduling problems focusing on bottleneck resources. Comput. Aided. 21, 1991–1996 (2006). https://doi.org/10.1016/S1570-7946(06)80340-8
Lee, D.-H., Nie, Y., Chen, A.: A conjugate gradient projection algorithm for the traffic assignment problem. Math. Comput. Model. 37(7–8), 863–878 (2003). https://doi.org/10.1016/S0895-7177(03)00090-6
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F.J.G. Silva, L. P. Ferreira and M. T. Pereira acknowledge the INEGI research support.
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Ferreira, I., Silva, F.J.G., Barreiras, A., Ferreira, L.P., Pereira, M.T. (2022). Optimizing the Chemical Collection Used in Cork Composites Manufacture. In: López Sánchez, V.M., Mendonça Freires, F.G., Gonçalves dos Reis, J.C., Costa Martins das Dores, J.M. (eds) Industrial Engineering and Operations Management. IJCIEOM 2022. Springer Proceedings in Mathematics & Statistics, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-031-14763-0_3
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