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International audience; To deal with challenges as globalization and fast-changing environments, enterprises are progressively collaborating with others and becoming a Networked Enterprise (NE). In this context, Enterprise Interoperability (EI) is a crucial requirement that needs to be verified by enterprises when starting a relationship to avoid interoperability problems. The concepts of NE and EI are not easy to understand due the variety of interpretations that exist in the literature. Having a clear and shared understanding of the NE and the different interoperations between partners is a necessity to manage the interoperability development. In order to reach such an objective, this research work defines a meta-model for NE based on a systemic approach. Concepts related to EI are taken into account to highlight the importance of this ability (i.e. Interoperability), seen as a requirement, within a system to attain its targeted goals. Finally, a real case study is proposed to validate the defined meta-model.

Globalisation and increased competition pushes companies to grow outside political and geographical boundaries, frequently forcing them to increase product diversification and optimise their relation with potential and effective partners and customers. In this scenario, implementing agile collaboration networks with business partners is a requirement. In this article the authors propose a collaborative framework based on a model for Historical, Present and Future evaluations, which in turn is based on a Dynamic Multi-criteria Decision Method using software agents and the Cloud for Collaborative Networked and Virtual Organization Synthesis. The model uses a dynamic decision approach for supplier and business partner evaluation, enabling software agents to autonomously capture business opportunities, select business partners/suppliers, award and process associated orders., The work is supported by the Portuguese Foundation for Science and Technology (FCT), Grant No. UID/CEC/00319/2013.

International audience; Interoperability is an essential requirement to be verified when enterprises are starting and maintaining a collaborative relationship. To ensure that such a requirement is continuously met, interoperability needs to be assessed. Various assessment approaches have been proposed in the literature to identify strengths and weakness of a system in terms of their ability to interoperate. However, the main existing approaches are addressing specific aspects of interoperability and focusing on only one type of measurement. To assess different aspects of interoperability of the same system, one may use multiples approaches which might cause redundancy and confusion considering the different metrics. Therefore, the objective of this paper, is to propose an assessment approach based on the so called " Ontology of Enterprise Interoperability ". The proposed approach is supported by a semi-automated tool aiming at reducing the time and paperwork required for evaluation. A real case study dealing with a networked enterprise is used to validate the approach.

International audience; To handle challenges such as globalization, new technologies and fast-changing environments, enterprises are progressively collaborating with others and becoming part of a Networked. In this context, Enterprise Interoper-ability (EI) is a crucial requirement that needs to be respected by enterprises when starting a collaborative relationship. As soon as this requirement is not achieved, EI becomes a problem that must be solved. To avoid these problems and consequently, take corrective actions on time, enterprises need to predict and solve potential problems before they occur. The Maturity Model for Enterprise Interoperability (MMEI) was proposed to assess the interoperability potential of an enterprise as well as to help enterprises evaluating the suitability of partners in an interoperability context. However, this method has some inconveniences such as the lack of formal definitions specifying the boundaries between each maturity level. Hence the objective of this paper is to formalize the MMEI maturity levels boundaries by defining formal measures. Finally, a case study is proposed to validate the defined measures.

International audience; Supply chain interactions are complex in general and can be viewed as a networked enterprise .In this paper, we address information system interoperability for exploring and analysing the interoperation problem in heterogeneous networked enterprises systems. We propose a common shared ontology based framework for networked enterprises interoperability for the context of information flows in supply chain interactions. A supply chain ontology，SCOR ontology，is developed based on the SCOR operation reference model. Subsequently, by formalising the similar concepts of SCOR ontology and product ontology, ONTO-PDM, using Description Logic, we propose a product-centric supply chain ontology framework for facilitating the interoperation between all enterprise applications involved in an extended supply chain. A case study of a Supply Chain Make-to-Order process is used to demonstrate the feasibility of the approach.

International audience; Nowadays, in a hotly competitive environment, companies are continuously trying to provide products and/or services to customers faster, cheaper, and better than the competitors do. Managers have learned that they cannot do it alone; rather, they must work on a cooperative basis with other organizations in order to succeed. Although the resulting enterprise networks are more competitive, the tasks for planning, management and optimization are much more difficult and complex. In this paper, we present a newly developed toolbox "ONE" to support decision makers for the assessment, design and improvement of such supply chain networks. The toolbox comprises innovative and user-friendly concepts related to the modeling, simulation and optimization of modern enterprise networks. Two case studies, proposed by partners from automotive and textile industries, are presented and computational results analysed.