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PROBLEMATIC
- How to reuse knowledge from previous engineering and production experiences to improve the accuracy in the development of new projects/products?
COMPETENCIES
- Applying BigData architecture for SMEs
- Generate correlations between product technical data
- Identify the most relevant product details influencing the industrialization process
- Implement industrialization capability evaluator
- Estimate the capacity to industrialize products
- Provide a decision support system for product industrialization
APPLICATIONS
- Generate new products industrialisation report for engineering
- Evaluate collaborative projects to produce multi-physical products
PUBLICATIONS
Ibrahim Benali, Baudouin Dafflon, Mohand Lounes Bentaha and Néjib Moalla (2017), “Emergent technologies for Inter-enterprises collaboration and business evaluation”, The 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA 2017), (Accepted)
Naeem, M., Moalla, N., Ouzrout, Y., and Bouras, A. (2016), Weaving Trending, Costing and Recommendations Using Big Data Analytic: An Enterprise Capability Evaluator, Enterprise Interoperability in the Digitized and Networked Factory of the Future, Vol. 8 Chapter 13, Proceedings of the IESA Conferences, Guimarães, Portugal.
Naeem, M., Moalla, N., Ouzrout, Y., and Bouaras, A. (2016). A Business Collaborative Decision Making System for Network of SMEs, 13th IFIP International Conference on Product Lifecycle Management (PLM16) July 11-13, 2016 Columbia, SC, USA (In press).
Naeem, M., Fahad, M., Moalla, N., Ouzrout, Y., and Bouras, A. (2015). Big Data Perspective with Ontological Modeling for the Traceability of Cultural Heritage. Product Lifecycle Management in the Era of Internet of Things, October 19-21, 2015, Doha, Qatar, pp. 562-571. Springer International Publishing.
Naeem, M., Moalla, N., Ouzrout, Y., and Bouras, A. (2015). Opportunity Analysis for Enterprise Collaboration between Network of SMEs, 6th International IFIP Working Conference on Enterprise Interoperability (IWEI 2015), Nîmes, France.
LINKS
PROBLEMATIC
- How to preserve and capitalize the information and knowledge of a product throughout its life cycle (design, industrialization, manufacturing, production, maintenance, recycling...)?
- How companies can adopt a proactive approach to digital preservation of engineering design and manufacturing information?
- How the digital preservation of knowledge must take place in a user-centred context?
COMPETENCIES
- Ontology and web semantic models --> For knowledge formalization and retrieving
- Service-Oriented Architecture --> For information and knowledge storing, retrieving and sharing
- OAIS --> For the processes standardization to facilitate the knowledge and information preservation
- Multi-Agent Systems --> To model and implement a proactive and user-centred knowledge preservation approach
APPLICATIONS
- FUI Tracaverre Industrial Project: Using Unitary Traceability for an Optimal Product Recall
- NIST Project: Industrial needs for Long Term Knowledge Retention
- EDF-Nucleaire Project: Define and instantiate a product data catalogue repository for all EDF-DIN engineering applications
PUBLICATIONS
Naeem & al, 2014 An Ontology-Based Digital Preservation System for Enterprise Collaboration
Chhun & al, 2015 A Web Service Composition Framework Based on Centrality and Community Structure
Lopez-Morales & al, 2015 MKMSIS: A Multi-agent Knowledge Management System for Industrial Sustainability
Thierno & al, 2015 Bayesian Network Building for Diagnosis in Industrial Domain based on Expert Knowledge and Unitary Traceability Data
Fahad & al, 2012 Detection and Resolution of Semantic Inconsistency and Redundancy in an Automatic Ontology Merging System
LINKS
- FUI Tracaverre
- NIST Workshop
- PhD Tei FENG
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