Project Database

Activity-based Carbon Footprint Modelling of the Manufacturing Processes of Intimate Apparel Products

The main objective of this project is to develop an activity-based carbon footprint model to understand the carbon emission status-quo of the manufacturing processes of intimate apparel products, so that carbon reduction opportunities can be identified for the development of low carbon competitive advantages. This project will dissect the manufacturing processes of most sought intimate products into activity-based carbon footprint constituting modules, then to model, gather, analyse and disclose the activity-based carbon footprints of the apparel products. The gathered carbon footprints of the most sought intimate apparel products will be effectively consolidated in form of an industrial specific database. A customized computer program will be built to analyse and report the carbon footprints of the most sought intimate apparel products so that significant carbon reduction opportunities can be identified for the development of low carbon competitive advantages. This innovative and practical approach, together with the comprehensive database and customized computer program will allow maximal flexibility and cost effectiveness in carbon footprint disclosure that fits the characteristics and demand of today’s intimate apparel industry.

Commercialisation Opportunity
Project No. (ITC) ITP/008/12TP
Project Type Platform
Project Co-ordinator Prof. YEUNG Philip Kwok-wing
Research Institute Clothing Industry Training Authority
ITF Amount HK$ 2,667,000
Start Date DD/MM/YY 2012-07-01
Completion Date DD/MM/YY 2013-11-30
Related ITF Project
Sponsors
Clover Group International Ltd
Crystal Group
Ecocharms Garment International Limited
Glorious Sun Enterprises (BVI) Ltd.
Hong Kong Non-Woven Fabric Ind Co Ltd
Pacific Textiles Limited
Pioneer Elastic Fabric Ltd
Sun Hing Industries Holding Limited
Super Rich Moulders Limited
Texco Hook & Eye Tape Limited
Triumph International (HK) Ltd
Wonderful Enterprises Ltd.
IP Number
133228A
302845233