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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
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Citations

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Title
Multi-Disciplinary Engineering for Cyber-Physical Production Systems
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-56345-9
ISBNs
978-3-31-956344-2, 978-3-31-956345-9
Editors

Stefan Biffl, Arndt Lüder, Detlef Gerhard

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 30%
Student > Ph. D. Student 14 26%
Researcher 6 11%
Student > Doctoral Student 3 6%
Student > Bachelor 2 4%
Other 3 6%
Unknown 9 17%
Readers by discipline Count As %
Engineering 19 36%
Computer Science 16 30%
Business, Management and Accounting 2 4%
Agricultural and Biological Sciences 1 2%
Environmental Science 1 2%
Other 2 4%
Unknown 12 23%