ITEA is the Eureka Cluster on software innovation
ITEA is the Eureka Cluster on software innovation

ITEA Challenge

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Smart Industry Smart Industry

Introduction

After the steam engine, the assembly line and the success of digital technology, we are witnessing the 4th industrial revolution: the merging of real and virtual worlds. So Smart Industry is naturally one of our main challenges in ITEA. How do we cope with consumer demand for highly individualised products that are available fast, cheaply and with high-quality specs? What opportunities exist to integrate and effectively manage horizontal and vertical value chains? Where can digitalisation and connectivity be the allies of manufacturing and generate additional revenues? Just think of all the newly emerging, often disruptive, digital business models offering customers tailor-made solutions. If industrial software is the lubricant of Smart Industry, what are the smart innovations we need to secure a competitive and successful manufacturing industry in Europe?

Some facts and figures

  • Manufacturing is very important all around the world:
    • Between 1990 and 2011, manufacturing value added saw robust growth, up to around EUR 6,577 billion. Over that period, the traditional industrialised countries saw their average manufacturing value added increase by 17%, while this figure was 179% in emerging industrial countries, which now represent 40% of the total manufacturing value added worldwide. [5]
    • Manufacturing is a hefty contributor to trade, R&D and productivity, generating 70% of exports in major manufacturing economies – both advanced and emerging – and up to 90% of business R&D spending. Driven by global competition in many subsectors, manufacturing's share of productivity growth is twice its share of employment in the EU-15 nations and three times its share of US employment. [6]
  • Data is often referred to as the raw material of the 21st century. Indeed, the amount of data available to businesses is expected to double every 1.2 years. [5]
  • The market for 3D printers and related services rose to EUR 1.6 billion in 2012, and is estimated to rise by about EUR 4.4 billion annually through to 2017. [5]
  • The Siemens Amberg Electronics Plant Showcase: production is largely automated. Machines and computers handle 75% of the value chain on their own; a quarter of the work is done by people. Production volumes are up eightfold and production quality at EWA is at 99.9988 percent. [7]

Imagine …

Imagine the manufacturing landscape of the future where robots undertake many human tasks. Think of the opportunities this intelligent automation will create, enabling integration throughout the value chain and allowing consumers to take the reins of 'control' and be the co-creators and co-makers of affordable, personalised products and services. Imagine a more sustainable, circular economy in which waste is minimised and use maximised. Where digital twins virtualise processes, products or services. Where all sorts of fascinating possibilities are facilitated by innovative software solutions.

Imagine what is possible when we dare to dream, when we reach for the stars in a galaxy full of opportunities…


References

[5] Industry 4.0 – the new industrial revolution, how Europe will succeed. Roland Berger Strategy Consultants, March 2014.

[6] Manufacturing the future: The next era of global growth and innovation. McKinsey Global Institute Report, November 2012.
[7] Factsheet: Amberg Electronics Plant. Siemens AG, February 2015.

Projects related to the challenge Smart Industry

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ResilientEnterprise

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VISION

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ARTWORK

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FERIDE

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I2DT

Intelligent Interoperable Digital Twins

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EXPAI SmartIndustry

Integrating AI into smart control systems, and increasing productivity for industrial areas

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TiDiT

Timeline-Driven Digital Twin

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AISSI

Autonomous Integrated Scheduling for Semiconductor Industry

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OMD

Optimal Management of Demand

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MIRAI

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MACHINAIDE

Knowledge-based services for and optimisation of machines

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AutoDC

Autonomous datacenters for long term deployment

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COSIBAS

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CyberFactory#1

Addressing opportunities and threats for the Factory of the Future (FoF)

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DayTiMe

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I2PANEMA

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MOSIM

End-to-end Digital Integration based on Modular Simulation of Natural Human Motions

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PIANiSM

Predictive and Prescriptive Automation in Smart Manufacturing

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SAMUEL

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SMART-PDM

A Smart Predictive Maintenance Approach based on Cyber Physical Systems

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OPTIMUM

OPTimised Industrial IoT and Distributed Control Platform for Manufacturing and Material Handling

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VMAP

A new Interface Standard for Integrated Virtual Material Modelling in Manufacturing Industry

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SOLOMON

SOcial LOcal MObile iNdoor shopping experience

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InValue

Industrial Enterprise Asset Value Enablers

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AVANTI

Test methodology for virtual commissioning based on behaviour simulation of production systems