Intelligent virtual manufacturing cell formation in cloud-based design and manufacturing

Affiliation auteursAffiliation ok
TitreIntelligent virtual manufacturing cell formation in cloud-based design and manufacturing
Type de publicationJournal Article
Year of Publication2018
AuteursOstrosi E, Fougeres A-J
JournalENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume76
Pagination80-95
Date PublishedNOV
Type of ArticleArticle
ISSN0952-1976
Mots-clésAgents, Holonic agents, Holonic cells, Intelligent features, Virtual manufacturing cells
Résumé

Cloud-based design and manufacturing (CBDM) can presumably stimulate greater intelligence in cloud-based models. This paper assumes that cloud-based design for cellular manufacturing can be referred to as a multiscale, uncertain, and dynamic service-oriented network where a set of CAD parts, modelled by set of features, can be manufactured in intelligent virtual manufacturing cells under certain constraints. Using the concepts of the holon and the attractor, integrating the uncertainty in the modelling of part design and part manufacturing network, an approach to address intelligent virtual manufacturing cell formation in CBDM is proposed. The powerful role of the CAD features is exploited to organize and integrate part design and part manufacturing engineering knowledge. Intelligent manufacturing features, modelled as fuzzy agents, are recognized in CAD part models and the distributed capabilities of machines in cloud manufacturing are evaluated through mobile intelligent agents. Then, intelligent virtual manufacturing cells, with holonic structure, emerge from the interactions of fuzzy machine holon agents and fuzzy part holon agents with holon agent attractors. The concepts of the holon and the attractor allow multi-scale cell formation with holonic structure: ``intelligent virtual manufacturing cells within an intelligent virtual manufacturing cell''. These fuzzy cell holons overcome the distinction continuous discontinuous of traditional cell design formation problem.

DOI10.1016/j.engappai.2018.08.012