The University of Southampton
University of Southampton Institutional Repository

Improving sewing section efficiency through utilization of worker capacity by time study technique

Improving sewing section efficiency through utilization of worker capacity by time study technique
Improving sewing section efficiency through utilization of worker capacity by time study technique
This paper represents the use of some tools and techniques for improving apparel sewing section efficiency throughout the production process. Now a day’s apparel manufacturing industries are trying to develop their current production system and situation and continuously looking for new production tools and techniques in order to keep swiftness with the rapid changes of trend in consumers of apparel products. To deal with the recent problems & challenges industries have to improve production efficiency & productivity; reduce lead time, ensuring proper quality requirements. There is no doubt that sewing section in an apparel industry is the most momentous and teeming department that plays a vital role in the whole firm. To improve the existing situation of this section and increasing productivity time study is a very effective technique. In time study, Standard Minute Value (SMV) has been calculated for each operation or job. Based on this technique each operators capacity is measured and balanced to eliminate the bottlenecks. Here, by applying these techniques significant improvements in the sewing section have been achieved such as SMV, man power, bottle neck, capacity achievable, production/hr, performance rating, balance % and line efficiency. The findings can be extended to similar apparel industries in future. General overviews to these works are presented in this paper.
Nabi, Farhatun
da298b2d-6d62-446e-ad2f-8827588bf5fb
Mahmud, Rezwan
fdfa3b32-4279-4f2f-88c4-d041eb783c00
Islam, Md Mazedul
3b8526f4-9b1e-489b-adb0-0f00ece304c7
Nabi, Farhatun
da298b2d-6d62-446e-ad2f-8827588bf5fb
Mahmud, Rezwan
fdfa3b32-4279-4f2f-88c4-d041eb783c00
Islam, Md Mazedul
3b8526f4-9b1e-489b-adb0-0f00ece304c7

Nabi, Farhatun, Mahmud, Rezwan and Islam, Md Mazedul (2015) Improving sewing section efficiency through utilization of worker capacity by time study technique. International Journal of Textile Science, 4 (1). (doi:10.5923/j.textile.20150401.01).

Record type: Article

Abstract

This paper represents the use of some tools and techniques for improving apparel sewing section efficiency throughout the production process. Now a day’s apparel manufacturing industries are trying to develop their current production system and situation and continuously looking for new production tools and techniques in order to keep swiftness with the rapid changes of trend in consumers of apparel products. To deal with the recent problems & challenges industries have to improve production efficiency & productivity; reduce lead time, ensuring proper quality requirements. There is no doubt that sewing section in an apparel industry is the most momentous and teeming department that plays a vital role in the whole firm. To improve the existing situation of this section and increasing productivity time study is a very effective technique. In time study, Standard Minute Value (SMV) has been calculated for each operation or job. Based on this technique each operators capacity is measured and balanced to eliminate the bottlenecks. Here, by applying these techniques significant improvements in the sewing section have been achieved such as SMV, man power, bottle neck, capacity achievable, production/hr, performance rating, balance % and line efficiency. The findings can be extended to similar apparel industries in future. General overviews to these works are presented in this paper.

This record has no associated files available for download.

More information

Published date: 15 December 2015

Identifiers

Local EPrints ID: 480650
URI: http://eprints.soton.ac.uk/id/eprint/480650
PURE UUID: c6b02ab4-7ae9-4836-9cb1-e0e3f3e8d42e

Catalogue record

Date deposited: 08 Aug 2023 16:37
Last modified: 17 Mar 2024 03:55

Export record

Altmetrics

Contributors

Author: Farhatun Nabi
Author: Rezwan Mahmud
Author: Md Mazedul Islam

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×