WHO WE ARE

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plus10 is a high-tech spinoff initiative of the Fraunhofer Institute for Manufacturing Engineering and Automation (IPA) in Stuttgart. It aims at proving that the AI-based technology for automated root cause detection in manufacturing lines developed by us can be scaled-up from a demonstrator to industrial machinery. In various projects our systems helped to increase productivity by 5 to 15% per machine (in average + 10 % OEE increase). The project is funded by the German Federal Ministry for Economic Affairs and Energy (BMWi EXIST program).

plus10 is a high-tech spinoff initiative of the Fraunhofer Institute for Manufacturing Engineering and Automation (IPA) in Stuttgart. It aims at proving that the AI-based technology for automated root cause detection in manufacturing lines developed by us can be scaled-up from a demonstrator to industrial machinery. In various projects our systems helped to increase productivity by 5 to 15% per machine (in average + 10 % OEE increase). The project is funded by the German Federal Ministry for Economic Affairs and Energy (BMWi EXIST program).

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SHANNON®: OUR INTELLIGENT OPERATOR ASSISTANT

YOUR BENEFIT

Assisting machine operators by providing the right information at the right time:

  • <1  % Undefined downtime
  • 4   % More output due to short term predictions
  • 50 % Reduction of production time loss due to searching errors

OPERATION

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    Do the right thing

    Prioritize real-time bottlenecks to maximize manufacturing output

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    Eliminate search time

    Giving operator precise information of malfunction cause, not only PLC error codes

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    Solving problems:

    Provide guidance for the operator how to solve a problem

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    Get help

    Contact the right person for help via VoIP or mobile service

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INSTALLATION

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After the training phase of our machine learning algorithms the system starts to evaluate in real-time occurring events, derive root-causes and prioritize them regarding overall production line impact.

The most important events are communicated via smartwatches, smartphones or web-based front end to the operator. All machine controllers (PLC) of the production line are connected to our high performance data logger.

The high performance data logger runs on a robust industrial PC (IPC) that is installed in the electric cabinet close to the PLC. It gathers and pre-process the data of each PLC. It continuously communicate to our AI-based virtual evaluation system.

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  • 1 % Undefined downtime
  • 4 % More output due to short term predictions
  • 50 % Reduction of production time loss due to searching errors

OPERATION

INSTALLATION

After the training phase of our machine learning algorithms the system starts
to evaluate in real-time occurring events, derive root-causes and prioritize
them regarding overall production line impact.

The most important events are communicated via smartwatches, smartphones or web-based front end to the operator. All machine controllers (PLC) of the production line are connected to our high performance data logger.

The high performance data logger runs on a robust industrial PC (IPC) that is installed in the electric cabinet close to the PLC.It gathers and pre-process the data of each PLC. It continuously communicate to our AI-based virtual evaluation system.

read more
show less

DARWIN: OUR INTELLIGENT MACHINE BENCHMARK

YOUR BENEFIT

  • >10 % shorter cycle times
  • Continuous transparency regarding machine behavior
  • Extremly early detection of anomalies
  • Clear optimization target based on virtually learned machine
  • Automated allocation of losses to machine components and their parameter settings

OPERATION

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    Assembly of a virtual machine as realistic target

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    Optimization feedback for all connected machines

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    Realtime Overview for all machines, performance and optimization potential per machine component

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INSTALLATION

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  • Setup of High performance machine data logger as industrial PC
  • Start of data acquisition and evaluation
  • Learning from data: Creation of a process model within 24h for all machines in parallel
  • >10 % shorter cycle times
  • Continuous transparency regarding machine behavior
  • Extremly early detection of anomalies
  • Clear optimization target based on virtually learned machine
  • Automated allocation of losses to machine components and their parameter settings

OPERATION

Optimization feedback for all connected machines

Assembly of a virtual machine as realistic target

Realtime Overview for all machines, performance and optimization potential per machine component

INSTALLATION

  • setup of high performance machine data logger as industrial PC
  • Start of data acquisition and evaluation
  • Learning from data: Creation of a process model within 24h for all machines in parallel

SUCCESS STORIES

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MACHINE BENCHMARK AT FREUDENBERG

  • Continuous and impartial machine comparison on a detailed technical level
  • Breakdown of potentials and malfunction causes for each machine
  • Explicit starting-points for improvements
  • Best-Practice-Optimum as processing time target
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SMART OPTIMIZATION AT SCHOTT

  • Cause mapping of downtimes through coupling with existing operating data
  • Continuous process analysis with direct balancing of failure causes and failure effect
  • Determination and quantitative evaluation of potentials for process optimization

MACHINEBENCHMARK AT FREUDENBERG

»The collaboration with Fraunhofer IPA revealed hidden potential of 6-10% per machine in the cycle time. In addition to that, we now have a benchmark value for the minimum possible process time.«

(Ed Borger, Senior Vice President Lean/GROWTTH)

SMART OPTIMIZATION AT SCHOTT

MEET US

OCTOBER 2019

14.10.2019-19.10.2019 ``K``

+ 10 % Output: Intelligent Machine Benchmark for fully automated and complex injection molding applications.

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07.10.2019-10.10.2019 Motek - International trade fair for automation in production and assembly

The world’s leading event in the fields of production and assembly automation, feed technology and material flow, streamlining through handling technology, and industrial handling. Meet us at Motek 2019!

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SEPTEMBER 2019

27.09.2019-28.09.2019 Hackerkiste

A conference, barcamp and hackathon all in one: Meet us at the Hackerkiste 2019 in Augsburg!

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TEAM

Dipl. Ing. Felix Georg Müller

Business development & sales

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Thomas Hilzbrich

Technology

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Pablo Mayer

Operations

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