Worker-Centric Workplaces in Smart Factories I-KNOW 2014 Graz, Austria Michael Schmeja, Martin Wifling, Alexander Stocker

COMET K2 Competence Center - Initiated by the Federal Ministry of Transport, Innovation & Technology (BMVIT) and the Federal Ministry of Economics & Labour (BMWFI). Funded by FFG, Land Steiermark and Steirische Wirtschaftsförderung (SFG) © disclosure or duplication without consent prohibited

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Smart Factories?

Smart Technology Smart Workers Smart Factory © disclosure or duplication without consent prohibited

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Factories of the Future: Multi Annual Roadmap prepared by EFFRA

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Be Attractive to the Worker Empower the Manual Worker Satisfy his/her goals secure well-being Increase productivity

reduce stressors facilitate knowledge sharing

monitor quality ease learning increase flexibility enhance interactions © disclosure or duplication without consent prohibited

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(Some) as is Situation in Factories §  ICT systems adopted are neither successful in capturing manufacturing knowledge, nor do they support social interaction of employees on a larger scale §  ICT platforms are of limited attractiveness especially to young workers (e.g. because of antiquated user interfaces). §  Human (social) aspects are widely ignored, contributing to the unattractiveness of the manufacturing workplace §  Manufacturing knowledge and information is always scattered across a plethora of information silos (‘walled gardens’). §  Much codified knowledge is only available in documents located on file shares, unable/hard to retrieve §  Data & Information is not machine readable (i.e. the computer can not understand its semantics) and not interlinked (i.e. the ability to search and explore it is limited), sometimes data is not available in digital form §  Central platforms to search and explore engineering and manufacturing knowledge are not available §  …

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(Some) potential goals of worker-centric Smart Factories §  Enhancing attractiveness of manufacturing work: Applying Web 2.0 concepts (participation, co-creation, collective intelligence, ...) and mobile technologies to establish a new manufacturing working environment/culture §  Facilitate communication and collaboration support: Enabling new modes of networked communication between employees, implementing enterprise 2.0 based collaboration platforms and making use of virtual social networks §  Enabling Workplace Learning: Facilitate knowledge transfer and learning at the machine by e.g. using more intuitive user interfaces or augmented reality to provide adhoc learning support and training of manufacturing processes. §  Reducing Information Complexity: Mastering complexity of manufacturing information through linking of information sources and documents, e.g. to identify patterns of successful / unsuccessful production §  … © disclosure or duplication without consent prohibited

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FACTS4WORKERS H2020 EU-Project §  „FACTS4WORKERS - Worker-Centric Workplaces in Smart Factories“

§  Horizon 2020 Call: „Factory of the Future“ §  FoF-4: Developing Smart Factories that are attractive to workers) §  Virtual Vehicle is coordinator, 14 Partners §  Development of worker-centric ICT for the Production worker of the future

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Augmented Reality Technology Method/Tool/   Technology  

Big Production Data technology to identify patters

Increase quality of products / parts Area  of   applica5on  

Semantic Technologies and Linked Data

learning tasks directly at the machine

self learning and self explaining workplaces

information silos and walled gardens Challenges  

un-used production data

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Mobile Devices & Simplicity Web 2.0 concepts & technologies

user interfaces allow easier use of production systems

open manufacturing culture through knowledge sharing

human aspects widely ignored non machine readable data

tools unsuccessful in capturing knowledge user interfaces not attractive (especially to youth)

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FACTS4WORKERS Industry challenges & project goals

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FACTS4WORKERS Smart Factory Architecture

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Dr. Alexander Stocker VIRTUAL VEHICLE Research Center [email protected] Martin Wifling VIRTUAL VEHICLE Research Center [email protected] Dr. Michael Schmeja VIRTUAL VEHICLE Research Center [email protected]

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