MICRO-DRESS - Customised Wearable Functionality and Eco-Materials – Extending the limits of Apparel Mass customisation Grant uri icon

description

  • The Micro-Dress project aims to extend the limits of feasible garment customisation for men’s, and ladies’ garments, to include for the first time user-configurable wearable functionality, as well as user-selectable degree of material eco-friendliness. The challenges related to both added value aspects will be researched in order to prove these concepts within a pragmatic framework based on two distinct business/supply chain models: i) Extension of existing mass customisation model of an International Brand (Ermenegildo Zegna), ii) Expansion of an innovative mass-customisation model (micro-factories), targeting innovative SMEs. The Objectives are: - Development and deployment of direct-write rapid manufacturing techniques for the production of portable garment integrated microelectronics components. - Derivation of eco-efficiency and eco-logistics related prediction algorithms and web-tools enabling user configurable eco-certification, based on materials and processes information along the supply chain (yarn to garment). - Development of a new biosensor-based screening test which can revolutionise the process of consumer health related garment components screening (fabrics, accessories, etc). - Development of an e-supply chain management platform to model the sourcing of e-devices and the concept of configurable eco-certification along the two supply chains (vertical brand chain, supply network of micro-factories). The platform will be built on the principle of Software as a Service, to maximise it’s exploitation potential. The results will be demonstrated by two pilots, one focussing on the user configurable eco-certification, the second on the customisable attachment of safety e-devices. The project brings together a multidisciplinary Consortium of 9 partners, of which 5 are SMEs, two are prominent EU Institutes and two are leading Textile and Clothing Groups.

total award amount

  • 4011482.6