Abstract
Currently, a company’s competitiveness in the market depends on its productivity in efficiently using its available resources. Low productivity is a recurring problem in the furniture sector due to low production process efficiency, resulting in the failure to deliver orders. For this reason, businesses focus on seeking manufacturing systems that enable them to efficiently control their processes, eliminating any waste or activity that generates downtime, to achieve higher customer satisfaction. This research explores a work case at a small Peruvian business in the furniture sector, which is facing the problem of a large amount of unfulfilled orders on a monthly basis that has resulted in lost sales of 8%. The results showed a positive impact in which the new improved methods in the cutting and edging process, as well as a new plant layout enabled operations and activities to be performed in less time, increasing productivity from 42.5% to 64.20%.
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References
Matt, D.T., Rauch, E.: Implementation of lean production in small sized enterprises. Procedia CIRP 12, 420–425 (2013)
Roriz, C., Nunes, E., Sousa, S.: Application of lean production principles and tools for quality improvement of production processes in a carton company. Procedia Manufact. 11, 1069–1076 (2017)
Talukder, M.H., Afzal, M.A., Rahim, M.A., Khan, M.R.: Waste reductio n and productivity improvement through lean tools. Int. J. Sci. Eng. Res. 4(11), 1844–1855 (2013)
Zhou, B.: Lean principles, practices, and impacts: a study on small and medium-sized enterprises (SMEs). Ann. Oper. Res. 241, 457–474 (2016)
Bellido, Y., La Rosa, A., Torres, C., Quispe, G., Raymundo, C.: Waste optimization model based on Lean Manufacturing to increase productivity in micro- and small-medium enterprises of the textile sector. In: CICIC 2018 - Octava Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, Memorias, vol. 1, pp. 148–153 (2018)
Bellido, Y., Rosa, A.L., Torres, C., Quispe, G., Raymundo, C.: Waste optimization model based on Lean Manufacturing to increase productivity in micro- and small-medium enterprises of the textile sector. In: CICIC 2018 - Octava Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, Memorias, vol. 1, pp. 148–153 (2018)
Paredes, M., Villa, J., Quispe, G., Raymundo, C., Moguerza, J.M.: Lean Manufacturing model for the improvement of manufacturing processes in small and medium-sized companies in the furniture industrial sector. In: CISCI 2018 - Decima Septima Conferencia Iberoamericana en Sistemas, Cibernetica e Informatica, Decimo Quinto Simposium Iberoamericano en Educacion, Cibernetica e Informatica, SIECI 2018 – Memorias, vol. 1, pp. 46–51 (2018)
Singh, A., Ahuja, I.S.: Evaluating the impact of 5S methodology on manufacturing performance. Int. J. Bus. Continuity Risk Manag. 5(4), 272–305 (2014)
Patil, S., Sapkal, A., Sutar, M.: Execute 5S methodology in small scale industry: a case study. Int. J. Res. Advent Technol. 5, 47–51 (2016)
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Farfan-Quintanilla, Z., Caira-Jimenez, M., Sotelo-Raffo, F., Raymundo-Ibañez, C., Perez, M. (2020). Applying SLP in a Lean Manufacturing Model to Improve Productivity of Furniture SME. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_106
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DOI: https://doi.org/10.1007/978-3-030-39512-4_106
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