Eric DAVID

Smart Operations in general and Smart Industry in particular (so-called « 4.0 » or « of-the-future ») : i.e. intelligent manufacturing systems/ intelligent transportation systems/ intelligent sourcing systems. This encompasses the relevance, feasibility and risks of systemic applicative combinations of multiple technologies :

• data science (« analytics ») : white and black artificial intelligence, other advanced algorithmic techniques of data mining or big data, pattern recognition incl. artificial vision, text mining,
• production : CAD-CAM, generative design, virtual prototyping and digital twins, additive manufacturing, PLM, new materials
• man-machine interfaces : data visualization, co-botics, virtual/ augmented reality, speech processing and voice synthesis,
• robotics : M2M, IoT, multi-botics, smart buildings, smart cities
• mobility : embedded systems, autonomous vehicles, drones, geographic information systems, geolocation,
• collaborative networks : e-business, e-catalogues, market-places, CPFR, CRM/SRM, VMI, EPOS,
• reliability and protection : cybersecurity/ safety, privacy, defense in depth in SCADA, encryption, authentication incl. blockchain, identification ;
• Decision making in the operations : decision aid, crisis management, risk management, project management (incl. cognitive and organizational biases, and organizational learning on problem solving) ;
• Modelling and optimization of the performance of the operations (« digital and robotic transformation ») considered as a socio-technical complex system: operation models vs. business models, input loop vs. resource loop, resource-based view, operational excellence methods comparisons – esp. transformation projects to introduce the above-mentioned digital and robotic technologies ;
• Outsourcing and partnerships in the operations: co-development and co-investment, processes for extended entreprise governance in uncertain environment risk sharing, collaborative concurrent engineering, open innovation in ecosystems of enterprises, including international and intercultural factors ;
• Socio-economic context and impact of operations transformation: ethics, sustainability, philosophical and political critique of progress and technology, economy of services vs. hyper/cyber-industrial economy, historical and anthropological comparative analysis of the industrial phenomenon, evolution of human work and employment, consequences on emerging countries and development assistance.