|Bibliography||Kassner, Laura; Hirmer, Pascal; Wieland, Matthias; Steimle, Frank; Königsberger, Jan; Mitschang, Bernhard: The Social Factory: Connecting People, Machines and Data in Manufacturing for Context-Aware Exception Escalation. |
In: Proceedings of the 50th Hawaii International Conference on System Sciences.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1-10, english.
Online, January 2, 2017.
Article in Proceedings (Conference Paper).
|CR-Schema||E.0 (Data General)|
H.2 (Database Management)
H.3 (Information Storage and Retrieval)
H.4 (Information Systems Applications)
|Keywords||decision support; internet of things; smart manufacturing; social media; text analytics|
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.
|Full text and|
|Copyright||Attribution-NonCommercial-NoDerivatives 4.0 International |
|Department(s)||University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems|
GSaME C2-001 ApPLAUDING
|Entry date||January 23, 2017|