Using factory-level digital tools to improve quality and productivity in garment factories

The retail landscape is rapidly changing as evolving consumer habits are resulting in smaller batch quantities and shorter lead times, requiring Li & Fung to have a more digitally connected, nimble vendor base. Li & Fung uses a supplier network of thousands of garment factories around the world, the majority of whom are still capturing quality and production data manually, resulting in incomplete and inaccurate records. Factories see the value in making their operations digital, but most are low margin businesses that do not have the capital to make significant investments. This project is focused on the development of a cost-effective, digital tool to capture quality and production data at the end of a production line. This new tool will: -- Allow managers to quickly access real-time data analytics on their factory, -- Enable factories to make immediate root cause corrections in the sewing line, -- Serve as a gateway for Li & Fung to more proactively manage its vendor base,--

Name thesis:degree_name

Master

Department dc:contributor.department

Sloan School of Management

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Hsu, Kevin(Kevin Ta-Zhi)

Advisor dc:contributor.advisor

• Maria Yang and Charles Fine.

• Sloan School of Management.
• Mechanical Engineering.
• Leaders for Global Operations Program.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/122590

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/122590