Emergent technologies for inter-enterprises collaboration and business evaluation

Ibrahim Benali (1) , Baudouin Dafflon (1) , Mohand Lounes Bentaha (1, 2) , Néjib Moalla (1)

1 DISP - Décision et Information pour les Systèmes de Production
2 UL2 - Université Lumière - Lyon 2

Conventional manufacturing systems are designed for intra-enterprise process management, and they hardly handle processes with tasks using extra-enterprise boundaries data. Besides, inter-enterprise collaboration and new IT enablers for industry 4.0 are becoming a highly topical issue to study, due to : (a) The emergence of new technologies mainly Internet of Things, big data processing and Cyber-Physical systems (b) The new customers' needs that face the SMEs. Many constraints and issues have to be taken into account before establishing Inter-enterprises collaboration, namely: The product information, the business processes and the heterogeneous data. Moreover, the exponential growth of data coming from all the enterprises causes several challenges regarding their exploitation. In this context, this study is interested in Big Data capabilities to help Small and Medium Enterprises to find out more lurking opportunities. We have focus on the combination between emergent IT technologies, mainly Big Data, and inter-interprises collaboration in order to provide an added value. The result of this study is a new approach, that could be adapted by SMEs, for new project evaluation within a network of enterprises.

Mots clés: IT technologies; Manufacturing; Business evaluation; Big Data; Collaboration; Inter-enterprise collaboration; Industry 40

Domaines: Sciences de l'ingénieur [physics]

Ibrahim Benali, Baudouin Dafflon, Mohand Lounes Bentaha, Néjib Moalla. Emergent technologies for inter-enterprises collaboration and business evaluation. 11th IEEE International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2017), Dec 2017, Malabe, Sri Lanka. pp.1-5, ⟨10.1109/SKIMA.2017.8294094⟩. ⟨hal-01963192⟩