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Innovation in Manufacturing Networks

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Cover of 'Innovation in Manufacturing Networks'

Table of Contents

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    Book Overview
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    Chapter 1 Advances in Collaborative Networked Organizations
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    Chapter 2 New challenges in collaborative virtual factory design
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    Chapter 3 Feeling the pain: Disruptive Innovation in Healthcare Markets
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    Chapter 4 Torwards a Methodology to Measure the Alignment of Value Systems in Collaborative Networks
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    Chapter 5 Readiness for Collaboration Assessment Approach in Collaborative Networked Organisations
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    Chapter 6 Collaborative Networked Enterprises: A Pilot Case in the Footwear Value Chain
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    Chapter 7 Modeling Performance Indicators' Selection Process For Vo Partners' Suggestions
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    Chapter 8 A Collaboration Readiness Assessment Approach
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    Chapter 9 Process Management In Collaborative Networked Organizations: A Perspective Under The Scope Of Organizational Memory
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    Chapter 10 Automating Trust Assessment for Configuration of Temporary Partnerships
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    Chapter 11 A Model For Dynamic Generation Of Collaborative Decision Protocols For Managing The Evolution Of Virtual Enterprises
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    Chapter 12 Partner Selection In Virtual Enterprises An Exploratory Approach
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    Chapter 13 EBXML – Overview, Initiatives and Applications
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    Chapter 14 An Analytical Approach for Comparing Collaborative Business Frameworks
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    Chapter 15 Support of Knowledge Creation Process in a Computer-Based COllaborative System
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    Chapter 16 Efficient Event Handling In Supply Networks Using Q-Learning And K-Means Clustering
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    Chapter 17 Ontology Development in Home Automation Used in Automatic VE Formation
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    Chapter 18 Towards an Ontology Mapping Process for Business Process Composition
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    Chapter 19 Using Concept Maps For Ontology Development: A Case In The Work Organization Domain
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    Chapter 20 Demand Forecast Method For Build-To-Order Products Using Estimate Information As A Leading Indicator
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    Chapter 21 An Ontology For A Model Of Manufacturing Scheduling Problems To Be Solved On The Web
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    Chapter 22 Evolvable Assembly Systems: From Evaluation to Application
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    Chapter 23 Configuration Of An Autonomous Decentralized Sdigital Factory Using Product And Machine Agents
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    Chapter 24 Comparing Workload Based Order Release Mechanisms
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    Chapter 25 Neural Network Modelling And Simulation Of The Scheduling
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    Chapter 26 Innovation in Manufacturing Networks
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    Chapter 27 Reliability Evaluation of Failure Delayed Engineering Systems
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    Chapter 28 MAS and SOA: Complementary Automation Paradigms
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    Chapter 29 Embodied intelligence to turn evolvable assembly systems reality
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    Chapter 30 Next Generation of Flexible Assembly Systems
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    Chapter 31 Intelligent Optical Sensors Using Artificial Neural Network Approach
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    Chapter 32 Intelligent Products: Intelligent Beings or Agents?
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    Chapter 33 A Bio-Inspired Solution for Manufacturing Control Systems
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    Chapter 34 An Innovative Pattern To Design New Business Models In The Machine Tool Industry
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    Chapter 35 Entrepreneurial Potential In Engineering And Business Courses … Why Worry Now?
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    Chapter 36 Co-Innovation Networks in Industry
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    Chapter 37 Creative Entrepreneurial Abrasion in Higher Education
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    Chapter 38 Innovation And Entrepreneurship: What Professors From Leading Universities Say?
Attention for Chapter 28: MAS and SOA: Complementary Automation Paradigms
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Chapter title
MAS and SOA: Complementary Automation Paradigms
Chapter number 28
Book title
Innovation in Manufacturing Networks
Published by
Springer US, January 2008
DOI 10.1007/978-0-387-09492-2_28
Book ISBNs
978-0-387-09491-5, 978-0-387-09492-2
Authors

Luís Ribeiro, José Barata, Pedro Mendes, Ribeiro, Luís, Barata, José, Mendes, Pedro

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
Germany 1 2%
Canada 1 2%
Brazil 1 2%
Unknown 38 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 29%
Student > Master 10 24%
Researcher 7 17%
Student > Doctoral Student 2 5%
Professor > Associate Professor 2 5%
Other 5 12%
Unknown 4 10%
Readers by discipline Count As %
Engineering 23 55%
Computer Science 13 31%
Unspecified 1 2%
Business, Management and Accounting 1 2%
Unknown 4 10%