Abstract
Currently, companies dedicated to the garment manufacturing industry have as a main problem the delay in their production assembly lines, which generates high downtime. Given this problem, it is proposed to make a correct allocation of resources by performing a balance of lines based of the Hoffman model. This with the objective of increasing the production cycle time. In the same way, define a work methodology, select good working practices and develop autonomy in workers. As a result of this implementation, workers acquire autonomy to perform their work, new working methods, and acquisition of new knowledge. After the proposed improvements had been deployed, the company reported an increase of over 25% in production assembly line quality, performance, and efficiency.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Change history
01 April 2020
The original version of the book was inadvertently published with an incorrect spelling of the authors’ names in Chapter 16 and an incorrect author’s name in Reference 5 of Chapter 112. The book has been updated with the changes.
References
Ministry of Production: Economic Studies Offices (2015). http://demi.produce.gob.pe/estadistica/sectorial
Clerk Maxwell, J.: A Treatise on Electricity and Magnetism, vol. 2, 3rd edn, pp. 68–73. Clarendon, Oxford (1892)
National Statistics Institute (INEI) (2015). https://www.inei.gob.pe/media/MenuRecursivo/indices_tematicos/pbi_act_econ_n54_kte_2007-2015_1.xlsx
Oksuz, M.K., Buyukozkan, K., Satoglu, S.I.: U-shaped assembly line worker assignment and balancing problem: a mathematical model and two meta-heuristics. Comput. Ind. Eng. 112, 246–263 (2017)
Türkmen, A., Yesil, Y., Kayar, M.: Heuristic production line balancing problem solution with MATLAB software programming. Int. J. Cloth. Sci. Technol. 28(6), 750–779 (2016)
Zhang, L., Narkhede, B.E., Chaple, A.P.: Evaluating lean manufacturing barriers: an interpretive process. J. Manuf. Technol. Manag. 28(8), 1086–1114 (2017)
Syahputri, K., Sari, R.M., Rizkya, I., Leviza, J., Siregar, I.: Improving assembly line balancing using Moodie Young methods on dump truck production. In: IOP Conference Series: Materials Science and Engineering, vol. 288, no. 1, p. 012090. IOP Publishing, January 2018
Kayar, M., Akalin, M.: Comparing heuristic and simulation methods applied to the apparel assembly line balancing problem. Fibres Text. East. Europe 2(116), 131–137 (2016)
Campos, R.Y., Lao, M.N., Torres, C., Quispe, G., Raymundo, C.: Modelo de Gestión del conocimiento para mejorar la Productividad del Talento Humano en empresas del sector manufactura. In: CICIC 2018 - Octava Conferencia Iberoamericana de Complejidad, Informatica y Cibernetica, Memorias, 1, pp. 154–159 (2018)
Espinoza, A., Rojas, E., Rojas, J., Raymundo, C.: Methodology for reducing staff turnover in service companies based on employer branding and talent management. In: Smart Innovation, Systems and Technologies, vol. 140, pp. 575–583 (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Sosa-Perez, V., Palomino-Moya, J., Leon-Chavarril, C., Raymundo-Ibañez, C., Perez, M. (2020). Production Management Model to Balance Assembly Lines Focused on Worker Autonomy to Increase the Efficiency of Garment Manufacturing. 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_112
Download citation
DOI: https://doi.org/10.1007/978-3-030-39512-4_112
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-39511-7
Online ISBN: 978-3-030-39512-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)