EUROPEAN MANUFUTURE PERSPECTIVE ON INTELLIGENT MANUFACTURING

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Elfreda Warren
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1 FOCUS Expert Workshop Brussels 2016 EUROPEAN MANUFUTURE PERSPECTIVE ON INTELLIGENT MANUFACTURING Prof. Dr.-Ing. Prof. E.h. Dr.-Ing. E.h. Dr.h.c. (mult) Institut für Industrielle Fertigung und Fabrikbetrieb, Univ. Stuttgart Fraunhofer-Institute IPA, Stuttgart Graduate School for advanced Manufacturing Engineering, Univ. Stuttgart GPS Gesellschaft für Produktionssysteme, Stuttgart EU High Level Groupe TP ManuFuture

2 Share of Manufacturing of the national GDP Years of de-industrialisation in US and Europe Deutschland Frankreich Italien Vereinigtes Königreich USA Japan 2014 Datenquelle: Ameco, CEP, eigene Berechnung Westkämper, Löffler Globalization Migration of Production and Consumption to lower developed countries

3 Central Objectives of Manufacturing Individualism - Customisation - Variant Products - Variants in Processes - Flexibility - Productivity - Quality - Life Cycle Services Cost Minimum Quality Zero defect Factories of the Future Sustainability - Ressource Efficiency - Economic Resilience - Social Efficiency Time Just in Time

4 Performance and Capability Process- Performance Borders of Performance Capable Process Quality Precision

5 Fields of Innovation in Manufacturing Technologies New Materials New Processes Manufacturing Technologies with technical Intelligence New Systems New Machines New Organization

6 Manufacturing continuous Innovation beyond Borders in all steps of the Value Chain High Performance cost, time, quality Dimensions micro- and nanoscale Environmental clean, sustainable Generative Processes additive technologies Adadaptive Processes self-organisation Energy Efficiency electric, heat, Material Efficiency material, air, oil, Management Efficiency organization, optimisation Processtechnologies Intelligent Mechatronic Design & Systems Engineering & Manufacturing & Management Cognition Based ICT Advanced Materials Nano-Scale Technologies Holistic System view of manufacturing: System of Elements and Relations - People - Material - Machines - Information System Optimization by Implementation of technical intelligence

7 Visions of Future Factories High Performance Quality Cost Time Adaptive (Flexible) Factories Networking Factories Customization Individual Products Factories of the Future Factories of Emotions Learning Factories Human Potential & Knowledge Information and Communication Technology Industrie 4.0 Generation of Knowledge Efficiency of Ressources Sustainability

8 Vision: Manufacturing in the digital Age Engineering in a digital Environment with Soft-Machines Engineering Apps Digital Products Digital Factories Administration in a digital Environment with changeable, individual Workflows Global ICT - Networks Product Life-Cycle Management real time IT Smart Factories Internet of things

9 Cyber-Physical-Systems Industrie 4.0 single-sign on look + feel everywhere - anytime Cloud Private edge Analysis Visualisation Sensors Planning Simulation Actuators Mechatronic devices ICT Networks, Internet, Digital and virtual Data Capture Control In Real time < msec Reale Prozesse + Umgebung Knowledge Automatisierung

10 Sensors for real time process control and process monitoring Process chain Pre-Process IT- Network Visualisation Animation Simulation Interaction Open/closed control loop Knowledge Base C FHG-IPA In Situ/ In-Process Post-Process Sensors Mikromechanics Thermomechanics Thermoelelektric Pneumatic Optic, Laser Piezo Radar Analysis, Pattern

11 Implementation of Technical Intelligence Manufacturing Systems Increasing the quality and efficiency of manufacturing engineering Scientific based Process Models Flexibility for turbulent Markets Intelligent Machines Customised Manufacturing Solutions Manufacturing Engineering Digital and virtual Product Engineering, Process planning and Process control with learning elements and In situ-process-simulation Process Technologies beyond limits Remote Manufacturing Variancy Flexibility and High Performance High energetic efficiency Zero-Defects

12 Modelling and Simulation Engineering System - Geometry - Analysis - Functions Material Models Process- Models ICT Engineering Environment for Manufacturing Engineering and Management Standards Humans Implicite Knowledge Simulation able to learn Explicite Knowledge Machines Look ahead Real Process (Production System) Feed back

Manufacturing 2030. Strategies for Next Generation Manufacturing

Manufacturing 2030. Strategies for Next Generation Manufacturing Manufacturing 2030 Strategies for Next Generation Manufacturing Engelbert Westkämper Prof. Dr.-Ing. Dr.Ing. E.h. Dr.h.c. mult University Stuttgart, Germany Fraunhofer IPA Share of Manufacturing of the