Multi-Disciplinary Engineering for Cyber-Physical Production Systems: Data Models and Software Solut

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.