Abstract
Over time, the textile sector has been globally represented and characterized by increasingly demanding customers, which has forced companies to seek more flexible processes. However, these changes in production methods have also generated greater wastes, a common problem, which also leads to a greater number of defaults on meeting the demand. As a result, several efforts have been made to solve this issue, such as using emerging Lean or Just-in-Time philosophies with different approaches. Likewise, high sector turnover sometimes causes learning to become tedious, thus affecting the knowledge which has already been acquired. Therefore, this paper proposes a Lean Manufacturing model, bolstered by knowledge management to guarantee its viability over time. A simulation using the Arena software reduced non-compliances with companies’ production schedule up to 80%.
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Cortez, C., Di Laura, N., Viacava, G., Raymundo, C., Dominguez, F. (2020). Lean Manufacturing Model Based on Knowledge Management to Increase Compliance in the Production Process in Peruvian SMEs in the Textile Garment Sector. In: Kantola, J., Nazir, S. (eds) Advances in Human Factors, Business Management and Leadership. AHFE 2019. Advances in Intelligent Systems and Computing, vol 961. Springer, Cham. https://doi.org/10.1007/978-3-030-20154-8_10
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