Statistical Analysis of Standard Allowed Minute on Sewing Efficiency in Apparel Industry

Open access


Apparel industry is not only one of the oldest, largest, labor-intensive, and most global industries but also the typical “starter” industry for countries engaged in export-orientated industrialization. To achieve such dreams, the industry has looked over different inter-dependable factors while producing different products. In this study, an effort has been made to establish a correlation between standard allowed minutes (SAMs) and efficiency of sewing section using different variables, including production rate, number of workstations, and operation breakdown, having a differential impact on both the selected variables. All the empirical analyses were planned in a vertically integrated textile company called Almeda Textile Private Limited Company (PLC), Ethiopia, starting from the basic product category (such as V-neck shirt) up to complicated workwear including military clothing and federal police uniforms of Ethiopia. The Pearson correlation coefficient method was chosen to find the relationship between bivariate linearly scaled variables using Statistical Package for Social Science (SPSS) software. The expected outcome will help in identifying the type of correlation and its significant level as well as its impact on the overall productivity of the sewing section which eventually leads to fulfilling the mission of attaining sustainable production capacity of the mentioned vertically integrated manufacturing company.

[1] Salvendy, G. (2001). Handbook of Industrial Engineering. 1st edition, Wiley, New York, 2001.

[2] Bandara, B. E. S., De Silva, D. A. M., Fernando, G. (2015). Role of Standard Minute Value in Export Processing: Will It Make Difference to the Firm Economic Performance. International Research Symposium on Engineering Advancements, SAITM, Malabe, Sri Lanka.

[4] Mohammad, A.J., Md. Tanjim, H., Md. Mazharul, I., Moshiur, R., Prashanta, K. R. (2014). To Estimate the Standard Minute Value of a Polo-Shirt by Work Study. Global Journal of Researches in Engineering: Industrial Engineering, 15(2), Version1.0. 2015.

[5] Habibur, R., Prashanta Kumar, R., Rezaul, K., Prodip Kumar, B. (2014). Effective Way to Estimate the Standard Minute Value (SMV) Of A T-Shirt By Work Study. European Scientific Journal, 10(30), ISSN: 1857 – 7881 (Print) e - ISSN 1857-7431, October 2014.

[6] Gu, B.-F., Jin, R., Liu, G.-L. Apparel Production Capacity Prediction of Knitted Garments Cutting, pp 239-246.

[7] Alamgir Hossain, S. K., Anwarul Isla, K. M. (2015). The Relationship of the Macroeconomic Variables with the Growth of Garment Industry in Bangladesh. Global Disclosure of Economics and Business, 4, pp 63-78.

[8] Rahman, Md H., Amin, Md A., (2016). An Empirical Analysis of the Effective Factors of the Production Efficiency in the Garments Sector of Bangladesh. European Journal of Advances in Engineering and Technology, 3(3), 30-36

[9] Rajput, D., Kakde, M., Chandurkar, P., Raichurka, P. P. (2018). Enhancing Efficiency and Productivity of Garment Industry by Using Different Techniques. International Journal on Textile Engineering and Processes, 4(1).

Autex Research Journal

The Journal of Association of Universities for Textiles (AUTEX)

Journal Information

IMPACT FACTOR 2018: 0.927
5-year IMPACT FACTOR: 1,016

CiteScore 2018: 1.21

SCImago Journal Rank (SJR) 2018: 0.395
Source Normalized Impact per Paper (SNIP) 2018: 1.044


All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 15 15 15
PDF Downloads 15 15 15