Logo image
Time-based process mapping for lead time compression in the apparel supply chain: a case study
Journal article   Open access   Peer reviewed

Time-based process mapping for lead time compression in the apparel supply chain: a case study

Chowdhury Jony Moin, Mohammad Iqbal, A B M Abdul Malek and Rezwanul Haque
International Journal of Mathematical, Engineering and Management Sciences, Vol.5(1), pp.96-107
2020
pdf
PDF - Published Version (Open Access)586.08 kBDownloadView
Published Version PDF - Published Version (Open Access) Open Access CC BY V4.0
url
https://doi.org/10.33889/IJMEMS.2020.5.1.009View
Published Version

Abstract

lead time supply chain management time to market TBPM
Fashion industries are highly globalized as designing, manufacturing, and selling are performed in different countries. As a result, it has a long supply chain and long lead time. Identification of value-added time through-out the supply chain is a key research area in apparel industries. This case study investigated detailed activities of thirty contracts of an apparel supply chain by considering the manufacturer as a coupling point of upstream (suppliers) and downstream (buyer). The contract frequencies were analyzed based on lead time and quantity. Each contract was analyzed using a time-based process mapping (TBPM). TBPMs of all contracts showed that overall 45% were non-value-added activities throughout the chain. It was also identified that the non-value activities were independent of the contract volume This study recommends time compression methodology to reduce the non-value-added activities by using advanced manufacturing technologies. The methodology and recommended time compression ways of this study can be applied to other supply chains.

Details

Metrics

310 File views/ downloads
462 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Web Of Science research areas
Engineering, Multidisciplinary
Mathematics, Applied
Operations Research & Management Science

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#9 Industry, Innovation and Infrastructure

Source: InCites

Logo image