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Lean Manufacturing Model Based on Knowledge Management to Increase Compliance in the Production Process in Peruvian SMEs in the Textile Garment Sector

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Authors
Cortez, Camila
Di Laura, Nicole
Viacava, Gino
Raymundo, Carlos
Dominguez, Francisco
Issue Date
2020-01-01
Keywords
Demand defaults
Knowledge management
Lean Manufacturing

Metadata
Show full item record
Publisher
Springer Verlag
Journal
Advances in Intelligent Systems and Computing
URI
http://hdl.handle.net/10757/656095
DOI
10.1007/978-3-030-20154-8_10
Additional Links
https://link.springer.com/chapter/10.1007/978-3-030-20154-8_10
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%.
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/embargoedAccess
Language
eng
Description
El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
ISSN
21945357
EISSN
21945365
ae974a485f413a2113503eed53cd6c53
10.1007/978-3-030-20154-8_10
Scopus Count
Collections
Ingeniería Industrial

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