Multi-Disciplinary Engineering for Cyber-Physical Production Systems

Data Models and Software Solutions for Handling Complex Engineering Projects

Häftad, Engelska, 2018

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Beskrivning

The authors consider methods, architectures, and technologies applicable in use cases according to the viewpoints of product engineering and production system engineering, and regarding the triangle of (1) product to be produced by a (2) production process executed on (3) a production system resource.

Produktinformation

Utgivningsdatum:2018-05-09
Mått:155 x 235 x 27 mm
Vikt:727 g
Format:Häftad
Språk:Engelska
Antal sidor:472
Förlag:Springer International Publishing AG
ISBN:9783319858913

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Recensioner i media

“The work gives a valuable perspective on the tendencies of present and future multidisciplinary cyber-physical production systems; thus, it is theoretical to a great extent. It contains examples and use cases from diverse domains. It would be an important and useful reading for people at the top of the production process, at the decision making or design levels. They will find a range of important issues characterizing cyber-physical production systems, enabling them to keep searching for consistent solutions.” (Svetlana Segarceanu, Computing Reviews, May, 2018)

Innehållsförteckning

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.