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Interoperability of enterprises is one of the main requirements for economical and industrial collaborative networks. Enterprise interoperability (EI) is based on the three domains: architectures and platforms, ontologies and enterprise modeling. This book presents the EI vision of the "Grand Sud-Ouest" pole (PGSO) of the European International Virtual Laboratory for Enterprise Interoperability (INTEROP-VLab). It includes the limitations, concerns and approaches of EI, as well as a proposed framework which aims to define and delimit the concept of an EI domain. The authors present the basic concepts and principles of decisional interoperability as well as concept and techniques for interoperability measurement. The use of these previous concepts in a healthcare ecosystem and in an extended administration is also presented.
Auteur
Bernard Archimède, ENIT (Ecole Nationale d'Ingénieurs de Tarbes), France.
Bruno Vallespir, University of Bordeaux, France.
Contenu
Contents
Foreword ix
Gérald SANTUCCI
Introduction xv
Bernard ARCHIMÈDE, Jean-Paul BOURRIÈRES, Guy DOUMEINGTS and Bruno VALLESPIR
Chapter 1. Framework for Enterprise Interoperability 1
*David CHEN*
1.1. Introduction 1
1.2. Enterprise interoperability concepts 2
1.2.1. Interoperability barriers 2
1.2.2. Interoperability concerns 4
1.2.3. Interoperability approaches 7
1.3. Framework for Enterprise Interoperability 10
1.3.1. Problem space versus solution space 10
1.3.2. The two basic dimensions 10
1.3.3. The third dimension 11
1.3.4. Complementary dimensions 13
1.4. Conclusion and prospects 16
1.5. Bibliography 17
Chapter 2. Networked Companies and a Typology of Collaborations 19
*Séverine BLANC SERRIER, Yves DUCQ and Bruno VALLESPIR*
2.1. Introduction 19
2.2. Various types of collaboration between companies 19
2.2.1. Strategic alliances 20
2.2.2. Integrated logistics management 21
2.2.3. Network enterprise 23
2.2.4. Virtual organizations and clusters 30
2.2.5. Virtual communities 35
2.3. Classification of the various types of collaboration and interoperability 37
2.3.1. Long-term strategic collaboration 37
2.4. Conclusion 40
2.5. Bibliography 40
Chapter 3. Designing Natively Interoperable Complex Systems: An Interface Design Pattern Proposal 43
*Vincent CHAPURLAT and Nicolas DACLIN*
3.1. Introduction 43
3.2. Work program: context, problematic, hypothesis and expected contributions 45
3.3. Concepts 47
3.4. Interface design pattern model 55
3.5. Conclusion and further work 60
3.6. Appendix 62
3.7. Bibliography 63
Chapter 4. Software Development and Interoperability: A Metric-based Approach 67
*Mamadou Samba CAMARA, Rémy DUPAS and Yves DUCQ*
4.1. Introduction 67
4.2. Literature review 68
4.2.1. Literature of software requirements' verification and validation 68
4.2.2. System state evolution 68
4.2.3. Interoperability literature review 69
4.2.4. The method for the validation and verification of interoperability requirements 70
4.2.5. Calculation of business process performance indicators from event logs 74
4.2.6. Event logs 75
4.3. Metric-based approach for software development and interoperability 78
4.3.1. Data collection framework for the validation and verification of interoperability requirements 78
4.3.2. Evaluation and improvement of available data 80
4.4. Application 81
4.4.1. Example 1 81
4.4.2. Example 2 82
4.5. Conclusion 82
4.6. Bibliography 82
Chapter 5. Decisional Interoperability 87
*Nicolas DACLIN, David CHEN and Bruno VALLESPIR*
5.1. Introduction 87
5.2. Decision-making 88
5.2.1. Definition 88
5.2.2. Decision-making in the GRAI model 90
5.2.3. Formal characterization of decision-making in the GRAI model 92
5.3. Decisional interoperability 95
5.3.1. Basic concepts 97
5.3.2. Design principles for decisional interoperability 98
5.3.3. Formal characterization of decisional interoperability 100
5.4. Conclusion 104
5.5. Bibliography 104
Chapter 6. The Interoperability Measurement 107
Nicolas DACLIN, David CHEN and Bruno VALLESPIR
6.1. Introduction 107
6.2. Models for evaluation of interoperability 109
6.3. Interoperability measurement 111
6.3.1. The potentiality measurement 111
6.3.2. Interoperability degree measurement 113
6.3.3. Performance measurement 116
6.4. Taking it further 125 6.5. Conclusion and prospec...