Industrie 4.0Analyse de Données pour la Qualité (ERE)

Know: • Future factory issues (economic, technological, organisational, societal and environmental), • Identification and satisfaction of customer needs evolution of demand: more customization, immediateity, etc: zero latency., • The organisation of a factory, a production line, workspaces ( ergonomics), • Design processes and digital tools (IoT, M2M),

Master: • Digital tools and applications based on cloud, artificial intelligence, machine learning or big data, • The training of collaborators (clean industry 4.0, redistribution of skills) and the accompaniment to cultural change (human focus, predictive approach), • The collection, processing and security of multi-source data (customers, machinery and company). • Digital transformation in the field of quality

• The fourth industrial revolution: Industry 4.0 • Digitalization: Prerequisites, Steps and Change Process • Key technologies (IOT, IIOT, COBOT, Digital model, IA,.. • Digital chain and digital product continuity • Increased factory and performance development axes • The customer, personalized offer and service • From augmented reality to increased cognitive capacity • Value Chains, Data Economy • Blockchain, data security and traceability

Table control (Duration 1h)