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Reference Architectures for Future Production Systems in the Field of Discrete Manufacturing.

, , and . CASE, page 869-874. IEEE, (2018)

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Java Technology and Industrial Applications., and . The Industrial Information Technology Handbook, CRC Press, (2005)Multi-Disciplinary Engineering for Industrie 4.0: Semantic Challenges and Needs., , and . Semantic Web Technologies for Intelligent Engineering Applications, Springer, (2016)Application of design pattern within the engineering of agent-based control systems., , and . CASE, page 181-186. IEEE, (2018)Early and efficient quality assurance of risky technical parameters in a mechatronic design process., , , and . IECON, page 2544-2550. IEEE, (2014)Migration from traditional towards cyber-physical production systems., , , , , , and . INDIN, page 1147-152. IEEE, (2017)Linking and versioning support for AutomationML: A model-driven engineering perspective., , , , and . INDIN, page 499-506. IEEE, (2015)Data exchange toward PLC programming and virtual commissioning: Is AutomationML an appropriate data exchange format?, , and . INDIN, page 492-498. IEEE, (2015)Model-Based Risk Assessment in Multi-disciplinary Systems Engineering., , , , , and . EUROMICRO-SEAA, page 438-445. IEEE Computer Society, (2015)Introduction to the Multi-Disciplinary Engineering for Cyber-Physical Production Systems., , and . Multi-Disciplinary Engineering for Cyber-Physical Production Systems, Springer, (2017)Lossless exchange of automation project configuration data., , and . ETFA, page 1-8. IEEE, (2016)