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Multi-Disciplinary Engineering for Cyber-Physical Production Systems

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Cover of 'Multi-Disciplinary Engineering for Cyber-Physical Production Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to the Multi-Disciplinary Engineering for Cyber-Physical Production Systems
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    Chapter 2 Product and Systems Engineering/CA* Tool Chains
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    Chapter 3 Cyber-Physical Product-Service Systems
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    Chapter 4 Product Lifecycle Management Challenges of CPPS
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    Chapter 5 Fundamentals of Artifact Reuse in CPPS
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    Chapter 6 Identification of Artifacts in Life Cycle Phases of CPPS
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    Chapter 7 Description Means for Information Artifacts Throughout the Life Cycle of CPPS
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    Chapter 8 Engineering of Next Generation Cyber-Physical Automation System Architectures
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    Chapter 9 Engineering Workflow and Software Tool Chains of Automated Production Systems
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    Chapter 10 Standardized Information Exchange Within Production System Engineering
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    Chapter 11 Model-Driven Systems Engineering: Principles and Application in the CPPS Domain
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    Chapter 12 Semantic Web Technologies for Data Integration in Multi-Disciplinary Engineering
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    Chapter 13 Patterns for Self-Adaptation in Cyber-Physical Systems
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    Chapter 14 Service-Oriented Architectures for Interoperability in Industrial Enterprises
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    Chapter 15 A Deterministic Product Ramp-up Process: How to Integrate a Multi-Disciplinary Knowledge Base
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    Chapter 16 Towards Model Quality Assurance for Multi-Disciplinary Engineering
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    Chapter 17 Conclusions and Outlook on Research for Multi-Disciplinary Engineering for Cyber-Physical Production Systems
Attention for Chapter 9: Engineering Workflow and Software Tool Chains of Automated Production Systems
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Chapter title
Engineering Workflow and Software Tool Chains of Automated Production Systems
Chapter number 9
Book title
Multi-Disciplinary Engineering for Cyber-Physical Production Systems
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-56345-9_9
Book ISBNs
978-3-31-956344-2, 978-3-31-956345-9
Authors

Anton Strahilov, Holger Hämmerle

Editors

Stefan Biffl, Arndt Lüder, Detlef Gerhard

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 25%
Unspecified 1 13%
Researcher 1 13%
Student > Ph. D. Student 1 13%
Unknown 3 38%
Readers by discipline Count As %
Unspecified 1 13%
Business, Management and Accounting 1 13%
Computer Science 1 13%
Engineering 1 13%
Unknown 4 50%