Analysis of Data Quality and Information Quality Problems in Digital Manufacturing

K, Q Wang (1) , S, R Tong (2) , Lionel Roucoules (3) , Benoît Eynard (4)

1 School of Management
2 School of Managemen
3 LASMIS - Laboratoire des Systèmes Mécaniques et d'Ingénierie Simultanée
4 UTC - Université de Technologie de Compiègne

This work focuses on the increasing importance of data quality in organizations, especially in digital manufacturing companies. The paper firstly reviews related works in field of data quality, including definition, dimensions, measurement and assessment, and improvement of data quality. Then, by taking the digital manufacturing as research object, the different information roles, information manufacturing processes, influential factors of information quality, and the transformation levels and paths of the data/information quality in digital manufacturing companies are analyzed. Finally an approach for the diagnosis, control and improvement of data/information quality in digital manufacturing companies, which is the basis for further works, is proposed.

Mots clés: Data quality; Information quality; Digital manufacturing

Domaines: Analyse numérique [cs.NA]; Génie des procédés

K, Q Wang, S, R Tong, Lionel Roucoules, Benoît Eynard. Analysis of Data Quality and Information Quality Problems in Digital Manufacturing. The 4th IEEE International Conference on Management of innovation & Technology, Sep 2008, Bangkok, Thailand. pp.439-443, ⟨10.1109/ICMIT.2008.4654405⟩. ⟨hal-00934082⟩