PREDETERMINED TIME SYSTEMS APPLIED IN SEWING PROCESSES: PROPOSAL FOR ADAPTING MOST SYSTEM TO AUTOMOTIVE SEWING
DOI:
https://doi.org/10.29121/ijetmr.v13.i4.2026.1749Keywords:
Automotive Sewing, Industrial Productivity, MOST Syste, Standard TimeAbstract
This article presents a literature review for determining standard times in automotive sewing operations by adapting the Maynard Operation Sequence Technique (MOST). The most commonly used methods in sewing processes are MTM and GSD, which are widely disseminated, but have limitations due to their complexity. The MOST system has been successfully applied to improve productivity in various processes, but rarely in sewing. Given this research need, it is proposed to develop a sequence of sub-operations that combines MOST’s movement categories with technical sewing parameters (revolutions per minute, stitch length, stitches per inch). This approach represents methodological advancement that can be replicated in other industrial garment manufacturing processes and contributes to the development of hybrid work measurement models.
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Mahapatra, P. J., and Aditya, A. (2020). Application of Pre-Determined Motion Time System to Develop Standard Data System for Measuring Work Content of Garments Finishing Operations. Journal of Textile and Apparel, Technology and Management, 1–30.
Chowdhury, J. M., and Moin, F. S. (2013). Investigation of a Hybrid Production System for Mass-Customization Apparel Manufacturing. Journal of Textile and Apparel, Technology and Management, 1–10.
Deshpande, S. R. (2020). An Overview on Lean Application Methods for Productivity Improvement. International Journal of Engineering Research and Technology, 225–233.
Monroy Melendez, D., and G. P. (2021). Estudio De Tiempos y Movimientos En Industria Textil En Hermosillo, Sonora. Universidad y Ciencia, 231–240.
Dirgar, E., and O. O. (2024). A Study on Defining Standard Movement Sets in Sewing Using the MTM Method. Tekstil: Journal for Textile and Clothing Technology, 160–167.
Fuentes Rojas, E. A., and V., G. (2022). Normalización De Tiempos De Confección En La Empresa Industrias INCA S.A.S. (AZZORTI), Por Medio De La Implementación De Bases De Datos Con Tiempos Analizados Por Medio De MTM. Ingeniería, Matemáticas y Ciencias De La Administración, 53–63. https://doi.org/10.21017/rimci.2022.v9.n18.a120
Freire, P. V. (2021). Análisis De Las Técnicas De Medición Del Trabajo Mediante La Revisión Sistemática De Artículos Científicos Para Determinar Los Beneficios Que Se Podrían Obtener Con Los Sistemas De Tiempos Predeterminados [Master’s thesis, Universidad Técnica de Ambato].
Mhatre, H., and H. T. (2019). Work Content Reduction of Chassis Assembly Line Using MOST: A Case Study. Industrial Engineering Journal, 1–15. https://doi.org/10.26488/IEJ.12.8.1193
Rico, A. M. L. (2005). Técnicas Utilizadas Para el Estudio de Tiempos: Un Análisis Comparativo. CULCYT Cultura Científica y Tecnológica. Revista De Investigación En Ingeniería e Innovación Tecnológica, 9–18.
Rahman, M. S., and K., R. (2018). Implementation of Maynard Operation Sequence Technique (MOST) to Improve Productivity and Workflow: A Case Study. Journal of Emerging Technologies and Innovative Research, 270–278.
Phan, T. T., and P., D.-N. (2023). Improve Building Database on the Operation Process and Performance Time for Sewing Operations of Knitted Garments Products. Fibres and Textiles, 1–7. https://doi.org/10.15240/tul/008/2023-4-007
Ramirez, L. J. (2016). Tiempos Agregados, Validación de Una Técnica De Medición Del Trabajo: Estudio De un Caso en Una Empresa Del Sector Textil [Master’s Thesis, Universidad Nacional de Colombia].
Rodriguez, C. J. (2009). Determinación de Tiempos Estándares Para la Industria de la Confección, a Través Del Sistema De Tiempos Predeterminados GSD (General Sewing Data) [Master’s Thesis, Universidad de San Carlos de Guatemala].
Yepez, R. I., and D. I. (2024). Impacto Del Análisis De Operaciones En La Productividad De La Pequeña Empresa De Confección Textil de Imbabura, Ecuador. Revista Científica Profundidad Construyendo Futuro, 150–160. https://doi.org/10.22463/24221783.4487
Kirin, S., and A. H. (2024). Use of MTM, RAV and ZAK Methods in Determining Working Methods and Time Norms in Technological Operations of Sewing Clothes. Processes, 1–14. https://doi.org/10.3390/pr12040740
Shao, Y., and X. J. (2022). Prediction of Standard Time of the Sewing Process Using a Support Vector Machine with Particle Swarm Optimization. AUTEX Research Journal, 290–297. https://doi.org/10.2478/aut-2021-0037
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Copyright (c) 2026 Genovevo Gonzalez De La Rosa, Nidia Yasmina Rico Ramos, Gustavo Emilio Rojo Velazquez, Rosa Ma Amaya Toral, Juan Carlos Floriano Tiscareño
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