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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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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Biffl, Stefan (Editör), Lüder, Arndt (Editör), Gerhard, Detlef (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Konular:
Online Erişim:Full-text access
İçindekiler:
  • 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.