TY  - CHAP
T1  - Fairtrace: Applying Semantic Web Tools & Techniques to the Textile Traceability
A1  - Alves, Bruno
A1  - Schumacher, Michael
A1  - Cretton, Fabian
A1  - Le Calvé, Anne
A1  - Cherix, Gilles
A1  - Werlen, David
A1  - Gapany, Christian
A1  - Baeryswil, Betrand
A1  - Gerber, Doris
A1  - Cloux, Philippe
TI  - Enterprise Information Systems - 15th International Conference, ICEIS 2013, Angers, France, July 4-7, 2013, Revised Selected Papers
T3  - Lecture Notes in Business Information Processing (LNBIP
Y1  - 2014
VL  - 190
PB  - Springer Verlag
UR  - http://link.springer.com/chapter/10.1007/978-3-319-09492-2_5
KW  - semantic web
KW  - traceability
N2  - This paper presents solutions that leverage Semantic Web Technologies (SWT) to allow pragmatic traceability in supply-chains, especially for the textile industry. Objectives are the identification of the supply-chain, order management, tracking and problem reporting (such as dangerous substance detection). It is intended to be a generic platform supporting potentially any kind of industrial supply-chain, to be usable in harsh environments (mobile appliances) without any kind of communications possibility and to be fully usable to non-IT people, including for the modelling of the production processes. The developed solutions also allow the consumer to benefit from the traceability through information pages available by scanning the QR codes available on the finished products (clothes, clocks, etc.). This paper presents: i) the methodology applied to achieve those functionalities, ii) the design and implementation choices, and iii) the test results. The main value of this paper is the usage of the Semantic Web in real-world industrial traceability solutions, which were tested in real supply-chains in Switzerland and India. The commercialization of the developed solutions has started.
ER  -