Standards Framework for Intelligent Manufacturing Systems Supply Chain

Ricardo Goncalves (1) , Carlos Agostinho (2) , João Sarraipa (2) , Amparo Rocca de Togores (3) , Maria-José Nunez (3) , Hervé Panetto (4)

1 DEE/FCT
2 UNINOVA - UNINOVA
3 AIDIMA - Asociación de Investigación y Desarrollo en la Industria del Mueble y Afines
4 CRAN - Centre de Recherche en Automatique de Nancy

The global market is striving to increase competitiveness among organizations and networks. Nowadays, management of supply chains does not only consider business processes in the traditional value chain, but also processes that penetrate networks of organisations. Indeed, the formation of cooperation and collaboration partnerships between several small organizations can be, in multiple cases, more efficient by comparison with big companies (Rudberg et al., 2002). This way, the research on supply chain management has turned from an intra-enterprise focus towards an inter-enterprise focus with companies looking for enhanced interoperability between computer systems and applications. Supply chain networks are characterized by different structures such as, business processes and technological, organizational, topological, informational, and financial structures. All are interrelated but following their own dynamics. Thus, in order to ensure a high responsiveness level, the supply chain plans must be formed robustly and extremely quickly in relation to all the structures (Gupta & Maranas, 2003). In fact, with regards to supply chain in the advent of globalization, one of the difficulties enterprises are facing is the lack of interoperability of systems and software applications to manage and orchestrate the different structures involved (Jardim-Goncalves et al. 2006; Panetto et al., 2006; Farinha et al., 2007). The increasing need for cooperation and collaboration together with the rapid advances in information and communication technology (ICT) have brought supply chain planning into the forefront of the business practices of most manufacturing and service organizations (Gupta & Maranas, 2003). Moreover, there has been a growing interest and research in e-business solutions to facilitate information sharing between organisations in the supply chain network.

Mots clés: Supply Chain; Ontology; standards; product data models

Domaines: Ingénierie assistée par ordinateur

Ricardo Goncalves, Carlos Agostinho, João Sarraipa, Amparo Rocca de Togores, Maria-José Nunez, et al.. Standards Framework for Intelligent Manufacturing Systems Supply Chain. Sanda Renko. Supply Chain Management - New Perspectives, InTech, pp.555-580, 2011. ⟨hal-00589658⟩