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Prediction of Standard Time of the Sewing Process using a Support Vector Machine with Particle Swarm Optimization

Shao Yibing, Ji Xiaofen, Zheng Menglin, Chen Caiya

Autex Research Journal

2022

Vol. 22, no. 3

290--297

Standard time is a key indicator to measure the production efficiency of the sewing department, and it plays a vital role in the production forecast for the apparel industry. In this article, the grey correlation analysis was adopted to identify seven sources as the main influencing factors for determination of the standard time in the sewing process, which are sewing length, stitch density, bending stiffness, fabric weight, production quantity, drape coefficient, and length of service. A novel forecasting model based on support-vector machine (SVM) with particle swarm optimization (PSO) is then proposed to predict the standard time of the sewing process. On the ground of real data from a clothing company, the proposed forecasting model is verified by evaluating the performance with the squared correlation coefficient (R2) and mean square error (MSE). Using the PSO-SVM method, the R2 and MSE are found to be 0.917 and 0.0211, respectively. In conclusion, the high accuracy of the PSO-SVM method presented in this experiment states that the proposed model is a reliable forecasting tool for determination of standard time and can achieve good predicted results in the sewing process.

Study on the Importance of Employee Performance Assessment and Lost Productive Time Rate Determination in Garment Assembly Lines

Kayar M., Bulur Ö. C.

Fibres & Textiles in Eastern Europe

2017

Vol. 25, no. 5 (125)

119--126

This study primarily includes theoretical information on the performance and lost productive time of a firm. Furthermore t-shirt sewing operations of a garment firm were analysed and time measurement for each operation was carried out by the time keeping method. By considering the measurements obtained, different performance estimations, the firm’s lost productive time rates, and the standard time was calculated within 5 different scenarios. According to each sewing standard time obtained, the assembly line balancing practice was carried out using the Hoffman method. Later on results of the assembly line balancing were compared, and the importance of employee performance assessment and its lost productive time rates for firms were discussed. The aim of the study was to emphasize the value of impeccable determination of the employee performance assessment and lost productive time rates. Consequently garment firms will be more cautious in calculating the standard time and will be able to reach their production target within the accurate measurement they obtain.

W artykule przedstawiono przede wszystkim teoretyczne informacje o ocenie wydajności pracowników i utracie czasu produkcyjnego w przemyśle odzieżowym. Przeprowadzono analizę szycia koszulek dokonując pomiaru czasu dla każdej operacji. Na podstawie analizy otrzymanych wyników określono 5 różnych scenariuszy. Zrównoważenia linii produkcyjnej dokonano przy użyciu metody Hoffmana. Następnie porównano wyniki i omówiono znaczenie oceny wydajności pracowników i utraty czasu produkcyjnego. Zaprezentowana analiza może posłużyć firmom odzieżowym w skutecznym zaplanowaniu czasu produkcji i przyczynić się do terminowej realizacji zamówień, co pozwoli uniknąć dodatkowych kosztów spowodowanych opóźnieniem.