Proposal of Redesign of Data-based Lean Management- Oriented Business Processes in the Textile Industry: Previous Diagnosis

Sebastian Tejada, Soledad Valdez, Rosa Salas-Castro, Jose C. Alvarez, Orkun Yildiz

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

This study addresses productivity challenges in Peruvian textile SMEs, focusing on limited machine availability, high failure rates, and lack of standardized processes. These issues lead to defective garments and high reprocessing rates, impacting productivity. A Lean Manufacturing model incorporating 5S, Total Productive Maintenance (TPM), and process standardization was implemented. Data on machine availability, failure rates, and reprocess percentages were collected and analyzed to measure the model's impact. The Lean Manufacturing model significantly improved productivity, achieving 0.25 units/sol. Machine availability increased, and reprocesses were reduced by 20%, demonstrating the model's effectiveness. This research provides a novel application of Lean Management, integrating data management and analytics to enhance productivity in textile SMEs. It offers valuable insights into 5S, TPM, and process standardization, contributing to both academic literature and industry practices.

Idioma originalInglés
Título de la publicación alojada2024 10th International Conference on Innovation and Trends in Engineering, CONIITI 2024 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
Edición2024
ISBN (versión digital)9798331531720
DOI
EstadoPublicada - 2024
Evento10th International Conference on Innovation and Trends in Engineering, CONIITI 2024 - Bogota, Colombia
Duración: 2 oct. 20244 oct. 2024

Conferencia

Conferencia10th International Conference on Innovation and Trends in Engineering, CONIITI 2024
País/TerritorioColombia
CiudadBogota
Período2/10/244/10/24

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