TIME AND MOTION STUDY IN A SEWING WORKSHOP

Authors

  • Anchundia-Chinga Thalia Gabriela Universidad Técnica de Manabí. Portoviejo, Ecuador.
  • Navarro-Saltos Darwin Jose Universidad Técnica de Manabí. Portoviejo, Ecuador.
  • Ramos-Alfonso Yanelis Universidad Técnica de Manabí. Portoviejo, Ecuador.
  • Vivas-Vivas Esperanza Universidad Técnica de Manabí. Portoviejo, Ecuador.

Keywords:

time study; motion study; productivity; garment manufacturing; operational efficiency

Abstract

DOI: https://doi.org/10.46296/ig.v9i18.0360

Abstract

The optimization of production processes is essential for improving the efficiency and competitiveness of garment manufacturing companies. This study aimed to conduct a time and motion analysis of the production process of a school sports uniform at the sewing workshop in order to identify critical operations, non-value-added movements, and improvement opportunities. A quantitative research methodology with a descriptive nature based on a non-experimental and cross-sectional design was used to conduct this research. Observations made directly, plus the development of flow diagrams to represent processes, and then applying continuous stopwatch time study methods through the entirety of the production cycle were how data was collected. The average total time to manufacture was determined to be 91.57 minutes. Within the total time to manufacture, T-Shirt and Shorts operations accounted for 45.06% of the time used in production processes; therefore, these two operations are the most significant within the manufacturing process. From observations made during the study, a total of 36 different non-value-added movements were identifiable based upon the type of movement(s) taking place, such as transferring work within a workstation, searching for tools, or repositioning fabric pieces. After evaluating and assessing all the data collected during this study, recommendations were made which included workstation layout redesign/optimization, a more organized method of storing materials and supplies, and an establishment of standardized operational methods. The conclusion reached from conducting time studies and motion studies provides evidence supporting the use of these studies as an effective means for rediscovering opportunities for improvement thus resulting in increases in productivity and efficiency of small-scale garment manufacturing workshops.

Keywords: time study; motion study; productivity; garment manufacturing; operational efficiency.

Downloads

Download data is not yet available.

References

Akinmoye, O. (2024). Analysis of lean manufacturing waste in the process flow of ready-to-wear garment production in Nigeria. AUTEX Research Journal, 24(1), 20230052. https://doi.org/10.1515/aut-2023-0052

Barnes, R. M. (1980). Estudio de movimientos y tiempos: Diseño y medición del trabajo (7.ª ed.). Limusa.

Bizuneh, B., & Omer, M. (2024). Improving productivity through work study and lean techniques in garment manufacturing. Cogent Engineering, 11(1), 2341538. https://doi.org/10.1080/23311916.2024.2341538

Degu, Y. M. (2024). Enhancing productivity through work study: A case of electric power pole cross arm fabrication. Heliyon, 10(12), e32868. https://doi.org/10.1016/j.heliyon.2024.e32868

Ewnetu, M., & Gzate, Y. (2023). Assembly operation productivity improvement for garment production industry through the integration of lean and work-study: A case study on Bahir Dar Textile Share Company in garment, Bahir Dar, Ethiopia. Heliyon, 9(7), e17917. https://doi.org/10.1016/j.heliyon.2023.e17917

Fatima, A., & Tufail, M. (2021). Improving efficiency of apparel manufacturing through the principles of resource management. Clothing and Textiles Research Journal, 39(4), 313–329. https://doi.org/10.1177/0887302X211005432

Harish, D. R., Kumar, M., et al. (2023). Productivity improvement by application of simulation and lean approaches in a multimodel assembly line. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. https://doi.org/10.1177/09544054231182264

Henao, R., Sarache, W., & Gómez, I. (2019). Lean manufacturing and sustainable performance: Trends and future challenges. Journal of Cleaner Production, 208, 99–116. https://doi.org/10.1016/j.jclepro.2018.10.116

Hernández-Sampieri, R., & Mendoza Torres, C. P. (2023). Metodología de la investigación: Las rutas cuantitativa, cualitativa y mixta (2.ª ed.). McGraw-Hill Interamericana.

Kanawaty, G. (1996). Introducción al estudio del trabajo (4.ª ed.). Organización Internacional del Trabajo.

Kharub, M., Ruchitha, B., Hariharan, S., & Vamsi, N. S. (2022). Profit enhancement for small, medium scale enterprises using Lean Six Sigma. Materials Today: Proceedings, 56(5), 2591–2595. https://doi.org/10.1016/j.matpr.2021.09.159

Kharub, M., Sharma, R., & Singh, S. (2022). Improving manufacturing performance through lean implementation: A systematic review. Journal of Open Innovation: Technology, Market, and Complexity, 8(2). https://doi.org/10.3390/joitmc8020103

Kirin, S., Hursa Šajatović, A., & Firšt Rogale, S. (2024). Use of MTM, RAV and ZAK methods in determining working methods and time norms in technological operations of sewing clothes. Processes, 12(4), 740. https://doi.org/10.3390/pr12040740

Kirin, S., Hursa Šajatović, A., & Firšt Rogale, S. (2024). Using the methods-time measurement calculator to determine the time norms for technological sewing operations in the clothing industry. Processes, 12(8), 1763. https://doi.org/10.3390/pr12081763

Kumar, A., Ahmed, S., et al. (2024). Productivity improvement of assembly line by line balancing technique: Case study textile manufacturing company Karachi, Pakistan. South Asian Journal of Social Studies and Economics, 21(5), 814.

Mumcu, Y. K. (2024). Solution approach using heuristic and artificial neural networks methods in assembly line balancing problems. Heliyon, 10(7), e26950. https://doi.org/10.1016/j.heliyon.2024.e26950

Niebel, B. W., & Freivalds, A. (2014). Ingeniería industrial: Métodos, estándares y diseño del trabajo (13.ª ed.). McGraw-Hill Education.

Raza, M., et al. (2024). Optimization of the clothing industry manufacturing process to improve efficiency. Engineering Proceedings, 76(1), 28. https://doi.org/10.3390/engproc2024076028

Teshome, M. M., Meles, T. Y., & Yang, C. L. (2024). Productivity improvement through assembly line balancing by using simulation modeling in case of Abay Garment Industry Gondar. Heliyon, 10(1), e23585. https://doi.org/10.1016/j.heliyon.2023.e23585

Tortorella, G. L., Powell, D., Liu, L., Godinho Filho, M., Antony, J., Hines, P., & Nascimento, D. L. M. (2023). How has social media been affecting problem-solving in organizations undergoing Lean Production implementation? A multi-case study. Journal of Industrial Information Integration, 35, 100515. https://doi.org/10.1016/j.jii.2023.100515

Published

2026-09-15

How to Cite

Anchundia-Chinga, T. G., Navarro-Saltos, D. J., Ramos-Alfonso, Y., & Vivas-Vivas, E. (2026). TIME AND MOTION STUDY IN A SEWING WORKSHOP. Scientific Journal INGENIAR: Engineering, Technology and Research, 9(18), 189-212. Retrieved from https://journalingeniar.org/index.php/ingeniar/article/view/502