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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...
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| Other Authors: | , , |
| Format: | e-Book |
| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edition: | 1st ed. 2017. |
| Subjects: | |
| Online Access: | Full-text access View in OPAC |
Table of Contents:
- 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.