Multi-Disciplinary Engineering for Cyber-Physical Production Systems: Data Models and Software Solutions for Handling Complex Engineering Projects

Author:   Stefan Biffl ,  Arndt Lüder ,  Detlef Gerhard
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
ISBN:  

9783319563442


Pages:   472
Publication Date:   12 May 2017
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $448.77 Quantity:  
Add to Cart

Share |

Multi-Disciplinary Engineering for Cyber-Physical Production Systems: Data Models and Software Solutions for Handling Complex Engineering Projects


Add your own review!

Overview

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 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. With this book industrial production systems engineering researchers will get a better understanding of the challenges and requirements of multi-disciplinary engineering that will guide them in future research and development activities. Engineers and managers from engineering domains will be able to get a better understanding of the benefits and limitations of applicable methods, architectures, and technologies for selected use cases. IT researchers will be enabled to identify research issues related to the development of new methods, architectures, and technologies for multi-disciplinary engineering, pushing forward the current state of the art.

Full Product Details

Author:   Stefan Biffl ,  Arndt Lüder ,  Detlef Gerhard
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Dimensions:   Width: 15.50cm , Height: 2.70cm , Length: 23.50cm
Weight:   8.454kg
ISBN:  

9783319563442


ISBN 10:   3319563440
Pages:   472
Publication Date:   12 May 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

Reviews

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)


Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List