TY - GEN
T1 - Lean Manufacturing Model Based on Knowledge Management to Increase Compliance in the Production Process in Peruvian SMEs in the Textile Garment Sector
AU - Cortez, Camila
AU - Di Laura, Nicole
AU - Viacava, Gino
AU - Raymundo, Carlos
AU - Dominguez, Francisco
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - 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%.
AB - 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%.
KW - Demand defaults
KW - Knowledge management
KW - Lean Manufacturing
UR - https://www.scopus.com/pages/publications/85069150241
U2 - 10.1007/978-3-030-20154-8_10
DO - 10.1007/978-3-030-20154-8_10
M3 - Contribución a la conferencia
AN - SCOPUS:85069150241
SN - 9783030201531
T3 - Advances in Intelligent Systems and Computing
SP - 103
EP - 111
BT - Advances in Human Factors, Business Management and Leadership - Proceedings of the AHFE 2019 International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership
A2 - Kantola, Jussi Ilari
A2 - Nazir, Salman
PB - Springer Verlag
T2 - AHFE International Conference on Human Factors, Business Management and Society, and the AHFE International Conference on Human Factors in Management and Leadership, 2019
Y2 - 24 July 2019 through 28 July 2019
ER -