Electricity sensors for resource efficiency and supply chain visibility in factories

Cost pressures on factories and the growing movement towards sustainability are key motivations behind Li & Fung's (LF) drive towards innovation. Supply chain digitalization through initiatives such as the Internet of Things (IoT) and big data is one of LF's pillars in its Three Year Plan. LF is committed to making data visible, digitally connecting, and understanding and improving resource efficiency in its supply chain. However, there is an immense amount of data across LF's -16,000 partner factories that remains largely invisible and untapped to fulfill these objectives. This thesis serves as a case study that explored the use of sensors to monitor electricity consumption in factories. Prior to this thesis, small-scale pilots in China and India yielded energy saving opportunities of up to 15% of a factory's consumption, in a payback period of 1-2 years. Given these, a factory-wide sensor installation was developed and tested in one partner factory.

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

• Talampas, Joseph P.

Advisor dc:contributor.advisor

• Maria Yang and Charles H. 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/1721.1/122600

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/122600