Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/41355

The Social Factory: Connecting People, Machines and Data in Manufacturing for Context-Aware Exception Escalation

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Title: The Social Factory: Connecting People, Machines and Data in Manufacturing for Context-Aware Exception Escalation
Authors: Kassner, Laura
Hirmer, Pascal
Wieland, Matthias
Steimle, Frank
Königsberger, Jan
show 1 moreMitschang, Bernhard
show less
Keywords: decision support
internet of things
smart manufacturing
social media
text analytics
Issue Date: 04 Jan 2017
Abstract: Manufacturing environments are socio-technical systems \ where people have to interact with machines to achieve \ a common goal. The goal of the fourth industrial revolution is \ to improve their flexibility for mass customization and rapidly \ changing production conditions. As a contribution towards \ this goal, we introduce the Social Factory: a social network \ with a powerful analytics backend to improve the connection \ between the persons working in the production environment, \ the manufacturing machines, and the data that is created \ in the process. We represent machines, people and chatbots \ for information provisioning as abstract users in the social \ network. We enable natural language based communication between \ them and provide a rich knowledge base and automated \ problem solution suggestions. Access to complex production \ environments thus becomes intuitive, cooperation among users \ improves and problems are resolved more easily.
Pages/Duration: 10 pages
URI/DOI: http://hdl.handle.net/10125/41355
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.202
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Smart Service Systems: Analytics, Cognition and Innovation Minitrack



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