Multi-Disciplinary Engineering for Cyber-Physical Production Systems Data Models and Software Solutions for Handling Complex Engineering Projects /
This book discusses challenges and solutions for the required information processing and management within the context of multi-disciplinary engineering of production systems. The authors consider methods, architectures, and technologies applicable in use cases according to the viewpoints of product...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction to the Multi-Disciplinary Engineering for Cyber-Physical Production Systems
- Product and Systems Engineering/CA* Tool Chains
- Cyber-Physical Product-Service Systems
- Product Lifecycle Management Challenges of CPPS
- Fundamentals of Artifact Reuse in CPPS
- Identification of Artifacts in Life Cycle Phases of CPPS
- Description Means for Information Artifacts throughout the Life Cycle of CPPS
- Engineering of Next Generation Cyber-Physical Automation System Architectures
- Engineering Workflow and Software Tool Chains of Automated Production Systems
- Standardized Information Exchange within Production System Engineering
- Model-Driven Systems Engineering: Principles and Application in the CPPS Domain
- Semantic Web Technologies for Data Integration in Multi-Disciplinary Engineering
- Patterns for Self-Adaptation in Cyber-Physical Systems
- Service-Oriented Architectures for Interoperability in Industrial Enterprises
- A Deterministic Product Ramp-up Process - How to Integrate a Multi-disciplinary Knowledge Base
- Towards Model Quality Assurance for Multi-Disciplinary Engineering - Needs, Challenges, and Solution Concept
- Conclusions and Outlook on Research for Multi-Disciplinary Engineering for Cyber-Physical Production Systems.
