Davide Dalle Carbonare, Sergio Gusmeroli

Similar documents
Predictive maintenance for Aerospace Product Manufacturing

DATABIO: ADVANCED VISUALISATION OF BIG DATA FOR AGRICULTURE

EU Priorities and Opportunities in Big Data

Laboratory Europe. Enter Cognitive Hub. Managing complexity within the Workplace of the Future

Digital Disruption in Steel Manish Chawla, GM, Global Industrial manishchawla1

Our Emerging Offerings Differentiators In-focus

How could Industry 4.0 transform the Steel Industry?

Customer Benefits by Cyber-Physical Systems

Second Wave of Digitalization From Industrie 4.0 to Data-Driven Business

Industrie 4.0 Zero Error Production with Intelligence Networked Factories

Britain s 4th Industrial Revolution Vision to Reality Siemens AG 2015 siemens.com

Altair s IoT Vision. Satish.K Director Enterprise Computing APAC & GCC Markets 15 th September 2017

Urgency of Doing Staying connected with IoT. Dr. Tanja Rueckert President IoT & Digital Supply Chain, SAP SE

Realizing the Industrial Internet (IIoT) Opportunity: Douglas Rudd Sr. Marketing Manager, Channels & Alliances GE Digital Europe

TDWI Analytics Fundamentals. Course Outline. Module One: Concepts of Analytics

Industrial IoT & Big Data Analytics: Capturing Value in the PLM Environment

INTRODUCTION TO R FOR DATA SCIENCE WITH R FOR DATA SCIENCE DATA SCIENCE ESSENTIALS INTRODUCTION TO PYTHON FOR DATA SCIENCE. Azure Machine Learning

ICT in Factories of the Future

Industrie 4.0. die Evolution der Fertigung am Beispiel des Fujitsu Werks Augsburg! #FujitsuWorldTour. Copyright 2017 FUJITSU

SMART PRODUCTION R O B O T I C S & A U T O M AT I O N G R O U P D E PA R T M E N T O F M AT E R I A L S & P R O D U C T I O N

Digitization in the Process Industries through the SPIRE PPP

Industrial Internet & Smart Manufacturing

From Thinking to Doing IoT as an Enabler for Vision 2030

Industrie 4.0 Die Notwendigkeit!

Digitalization in the Textile Industry. Restricted Siemens AG 2018

Learning in Context with Horizontally & Vertically Integrated Curriculum

Maturing IoT solutions with Microsoft Azure

Future of manufacturing View on enabling technologies Restricted Siemens AG All rights reserved

Smart Manufacturing Case Study: Robots as-aservice

Azure Data Analytics & Machine Learning Seminar. Daire Cunningham: BI Practice Area Manager

INTERNET OF THINGS WITH CUMULOCITY AND THE DIGITAL BUSINESS PLATFORM

Japanese Initiative of Industrial Value Chain Platform for Connected Factories

The Intelligent Factory: How IoT is optimising operations across the value chain

Smart Factory The Heart of the Digital Transformation Era

Driving Smart Manufacturing through Siemens Digital Enterprise & IoT Ecosystem

The contribution of IoT in process manufacturing

INDUSTRY 4.0 Transforming the Future of Manufacturing.

IIC Liaison Report to Wael William Diab

The Internet of Things in the Context of Manufacturing

Digital Manufacturing Testbed: Rationale and Launch Overview. January 21, 2019 M. Ursem

Azure IoT Suite. Secure device connectivity and management. Data ingestion and command + control. Rich dashboards and visualizations

Data Science, realizing the Hype Cycle. Luigi Di Rito, Director Data Science Team, SAP Center of Excellence

DIGITAL DISRUPTION AT THE DOOR STEPS OF INDUSTRIAL ENTERPRISE. Digitalization 2.0 and Future of Enterprises

Digital Enterprise the new approach for industry Pama Case

White Paper Realize Industrial IoT

Big Data Research and Innovation A Gap Analysis from the Perspective of the European Big Data Value PPP

DIGITAL TWIN MEETING CUSTOMER EXPECTATIONS

Why Data Governance is Necessary Even for Big Data Platforms. Glen Sartain Practice Lead Big Data Analytics Noah Consulting

Smart Manufacturing in the Semiconductor Industry - Realizing the Digital Factory Vision

The Internet of Everything and the Research on Big Data. Angelo E. M. Ciarlini Research Head, Brazil R&D Center

Closed Loop Excellence

Capgemini s PoV on Industry 4.0 and its business implications for Siemens

From Things to Value

Industry from vision into the factory Prof. Dr. Dr. h.c. Detlef ZUEHLKE Executive Chairman smartfactorykl e.v. Kaiserslautern / Germany

DLT AnalyticsStack. Powering big data, analytics and data science strategies for government agencies

Reimagine Your Business with Digital Transformation IoT Regional Forum Sao Paulo

Ventana Research Big Data and Information Management Research in 2017

FRAUNHOFER INSTITUTE FOR EXPERIMENTETAL SOFTWARE ENGINEERING IESE. The Middleware for Industrie 4.0. BaSys 4.0

PUBLIC. Copyright 2018 Rockwell Automation, Inc. All Rights Reserved.

Innovations in Manufacturing And the impact on South Africa. November 2018

Semantic Data Analytics for Integrated Energy and Industry Automation Systems Restricted Siemens AG All rights reserved

Industrial IoT Solution Architecture Design From Connectivity to Data

Industry 4.0 and its Impact on International Trade

Smarter than smart. Cognitive buildings that can think for themselves?

Evolving Technology Trends Impacting Manufacturing Industry

From Data Driven Innovation to Digital Transformation

Elisa IoT. From idea to a product in weeks

Digitalization to enable the Future of Manufacturing

All the presented projects have received funding from the European Union s Horizon 2020 research and innovation programme

ACCENTURE INTRODUCTION

Hany Moustapha Professor and Director, AÉROÉTS École de technologie supérieure Senior Research Fellow, P&WC July 2016

Re-thinking and empowering operations in a digital world! Sebastian Seutter Director Strategy and Business Development

Dr. Hironori Hibino, Tokyo University of Science Dr. Masahiro Nakamura, LEXER RESEARCH Inc.

K4U Knowledge for Success Internet of Things Webinar Series

MIDIH Didactic Factories. Information for the applicants

Big data analysis for secure and optimized logistics

Youichi Nonaka. Sudhanshu Gaur Senior Chief Researcher Hitachi R&D Group. Director, Global Center for Social Innovation Hitachi America R&D

emaintenance for Railway 19 th Nordic Seminar on Railway Technology 14 th -15 th September 2016 Clarion Hotel Sense, Luleå

Real-time Streaming Insight & Time Series Data Analytic For Smart Retail

Developing a Strategy for Advancing Faster with Big Data Analytics

Journey to the Cloud Experiences from SAP s Transformation

Industry Digitizing the Shop Floor to Achieve Operational Excellence & Customer Successes

REPLY COMPANY PROFILE

Restricted Siemens AG 2017 siemens.com.cn/ingenuityforlife

Getting Started: Modeling the Structure and Operations of Big Data

The contribution of IoT in process manufacturing

Future of Smart Manufacturing in a Global Economy

Microsoft Azure Essentials

Fujitsu Value Proposition for Manufacturing Industry. Enabling Digital with Connected Enterprise

The Alliance on Internet of Things (AIOTI): The potential of digital platforms in agriculture

Maturing IoT solutions with Microsoft Azure. Glenn Colpaert Azure/IoT Domain

Automation University Aarau 2017

everis_iot Connecting things to transform the world everis.com / Consulting, IT & Outsourcing Professional Services

THE HUMAN ROLE IN CYBER-PHYSICAL SYSTEMS

Enterprise Systems in Healthcare - Blessing or Curse?

A Matter of Semantics

I am connected! Now what?

The Canadian Digital Supercluster. Overview Presentation October 25, 2017

Digital Asset Management Improving reliability and maintenance with proactive, smart solutions

SAP Leonardo a SCP cloud

Transcription:

Paris Versailles, November 23rd 2017 Davide Dalle Carbonare, Sergio Gusmeroli Engineering Ingegneria Informatica S.p.A

Agenda (11.00 12.30) State of Play: Smart Manufacturing Industry Subgroup and its Position Paper. Sergio Gusmeroli & Davide Dalle Carbonare (Engineering Ingegneria Informatica S.p.A, Italy) Digitalization needs Interoperability Interoperability requests standardization. The way to do it. Thomas Hahn (SIEMENS, Germany) Securing IoT and Big Data. Exploring a huge iceberg by some illustrative projects. Dr. Aizea Lojo (IK4-Ikerlan, Spain); Dr. Iñaki Garitano (Mondragon Unibertsitatea, Spain) Predictive maintenance for Aerospace Products Manufacturing. Prof. Ernesto Damiani (CINI, Italy); Mrs Marianna Lezzi (Università del Salento, Italy) Steel Production Optimization. Mr. Marcos Sacristán (Treelogic, Spain)

Digitising EU Industry DEI WG2 Report WG2 aims to support the creation of next-generation digital platforms by defining possible next-generation platforms, reflecting on how building platforms should be approached on European level, and considering how existing and planned EU-wide, national, and/or regional platform development activities can contribute. WG2 considers next-generation digital platforms in the following sectors/topics: Connected Smart Factories Smart Agriculture Digital Transformation of Health and Care Industrial Data Platforms Internet of Things https://ec.europa.eu/futurium/en/implementing-digitising-european-industryactions/report-wg2-digital-industrial-platforms-final

The BDVA Big Data Value Reference Model Applications/Solutions: Manufacturing, Health, Energy, Transport, BioEco, Media, Telco, Finance, EO, SE, Big data Types & semantics Big Data Priority Tech Areas Struct data/ BI Time series, IoT Geo Spatio Temp Media Image Audio Text NLP. Genom Web Graph Meta Data Visualisation and User Interaction 1D, 2D, 3D, 4D, VR/AR Data Analytics Descriptive, Diagnostic, Predictive, Prescriptive Machine Learning and AI, Deep Learning, Statistics, Data Processing Architectures and Workflows Batch, Interactive, Streaming/Real-time j Stand ards Data Protection, Anonymisation, Data Management Collection, Preparation, Curation, Linking, Access, Sharing Data Market / Data Spaces DB types: SQL, NoSQL (Document, Key-Value, Coloum, Array,Graph, ) Cloud and High Performance Computing (HPC) Things/Assets, Sensors and Actuators (Edge, Fog, IoT, CPS) Communication and Connectivity, incl. 5G CyberSecurity and Trust Development - Engineering and DevOps Data sharing platforms., Industrial/Personal

The SMI Smart Manufacturing Scenarios Smart Factory Smart Product Lifecycle Smart Supply Chain Industry 4.0 Scenarios Factory Automation Machinery & Robots Internal Logistics Smart Workplaces Cyber Physical Systems Production Monitoring Ctrl Predictive Maintenance Zero Defect Manufacturing Product-Service Systems Ideation LivingLabs Product Design Engineering Product Tracking & Tracing As-design As-built As-Maint End of Life Circular Economy Post-sales Services Sharing & Service Economy Predictive Maintenance Supply Chain Management Value Networks Business Ecosystems Cross-sector Ecosystems System Interoperability Human Collaboration Business Modelling Innovation Ecosystems Co-opetition Models

The reference framework & Technical Challenges BDVA SRIA TECHNOLOGIES PROCESSES Smart Lifecycle Smart Supply Chain Smart Factory Data Mgmt & Lifecycle Data Processing Architectures Data Analytics, Models Simulation Data Protection Security Data Visualisation Product generated Company generated CPPS generated Batch Processing Distributed Processing Stream RT Processing Product Design Ecosystems Models Factory Simulation Confidential Data Dynamic Sovereignity Mixed Criticality 3D Visualization Collaborative Work Smart Workplace

The reference framework & Technical Challenges BDVA SRIA TECHNOLOGIES PROCESSES Smart Lifecycle Smart Supply Chain Smart Factory Data Mgmt & Lifecycle Data Processing Architectures Data Analytics, Models Simulation Data Protection Security Data Visualisation SP1-4 Product generated Company generated CPPS generated Batch Processing Distributed Processing Stream RT Processing SP5-6 SP7-10 SF1-5 SF6-8 SF9-15 Product Design Ecosystems Models Factory Simulation SF16-19 Confidential Data Dynamic Sovereignity Mixed Criticality SP11-12 SF20-24 3D Visualization Collaborative Work Smart Workplace SP13-17 SSC1-5 SSC6-7 SSC8-12 SSC13 SSC14-15

Validation with EFFRA Connected Factories 2025 Platforms Data Skills Security Regulation Desired Future Vision Connected Factories 2030 Backcasting PATHWAYS 2017

Agenda (11.00 12.30) State of Play: Smart Manufacturing Industry Subgroup and its Position Paper. Sergio Gusmeroli & Davide Dalle Carbonare (Engineering Ingegneria Informatica S.p.A, Italy) Digitalization needs Interoperability Interoperability requests standardization. The way to do it. Thomas Hahn (SIEMENS, Germany) Securing IoT and Big Data. Exploring a huge iceberg by some illustrative projects. Dr. Aizea Lojo (IK4-Ikerlan, Spain); Dr. Iñaki Garitano (Mondragon Unibertsitatea, Spain) Predictive maintenance for Aerospace Products Manufacturing. Prof. Ernesto Damiani (CINI, Italy); Mrs Marianna Lezzi (Università del Salento, Italy) Steel Production Optimization. Mr. Marcos Sacristán (Treelogic, Spain)

THANK YOU Davide Dalle Carbonare, Sergio Gusmeroli Engineering Ingegneria Informatica S.p.A davide.dallecarbonare@eng.it; sergio.gusmeroli@eng.it