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Enterprise Interoperability.
The ability of future industry to create interactive, flexible and always-on connections between design, manufacturing and supply is an ongoing challenge, affecting competitiveness, efficiency and resourcing. The goal of enterprise interoperability (EI) research is therefore to address the effective...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Newark :
John Wiley & Sons, Incorporated,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Half-Title Page; Title Page; Copyright Page; Contents; Introduction; Preface; PART 1: Embedded Intelligence; Part 1 Summary: Embedded Intelligence Discussion; Introduction; How do we best empower people?; How do we enable effective knowledge sharing across multiple users with different viewpoints?; What analytics techniques are needed/essential?; How do we design, deploy and maintain ICT solutions to suit dynamic business environments?; 1. Exploiting Embedded Intelligence in Manufacturing Decision Support; 1.1. Introduction; 1.2. Key technologies; 1.2.1. Embedded Systems.
- 1.2.2. Analytics technologies1.2.3. Application services; 1.2.4. Empowered workforce toolkits; 1.2.5. Interoperable knowledge environments; 1.3. Concluding discussion; 1.4. References; 2. Test of the Industrial Internet of Things: Opening the Black Box; 2.1. Introduction; 2.2. Scoping; 2.3. Architecture of the industrial emulator; 2.4. Application case; 2.5. Future work and conclusion; 2.6. References; 3. Intelligent Decision-support Systems in Supply Chains: Requirements Identification; 3.1. Introduction; 3.2. State of the art; 3.3. Trends in the research area of iDSS-SC.
- 3.4. New research challenges3.5. Conclusions; 3.6. References; 4. A Total Solution Provider's Perspective on Embedded Intelligence in Manufacturing Decision-support Systems; 4.1. Introduction; 4.2. Presenting knowledge for decision makers; 4.3. Modeling the connectivity of products and services; 4.4. Business knowledge generation; 4.5. Presenting data in a "human" way; 4.6. Conclusions; 4.7. References; PART 2: Business Impact of Enterprise Interoperability; Part 2 Summary: Business Impact of Applications of Enterprise Interoperability; Discussion.
- 5. Enterprise Interoperability Management and Artifacts5.1. Introduction; 5.2. Situation and motivation; 5.3. Approach; 5.4. Future work and conclusion; 5.5. References; 6. Challenges for Adaptable Energy efficient Production Processes; 6.1. Introduction; 6.2. Approach; 6.3. Use case; 6.4. Conclusion and outlook; 6.5. Acknowledgments; 6.6. References; 7. Interoperability Requirements for Adaptive Production System-of-Systems; 7.1. Introduction; 7.2. Process interoperability requirements addressed; 7.3. Engineering and design requirements addressed; 7.4. Expected impact; 7.5. Next steps.
- 7.6. Acknowledgements7.7. References; 8. Platforms for the Industrial Internet of Things: Enhancing Business Models through Interoperability; 8.1. Introduction; 8.2. Theoretical background; 8.2.1. Business models for the Internet of Things and ecosystems; 8.2.2. Interoperability in industrial ecosystems; 8.3. Research approach; 8.4. Business models component based on interoperability; 8.5. Conclusion and outlook; 8.6. References; PART 3: Virtual Factory; Part 3 Summary: Virtual Factory Operating System; 9. vf-OS Architecture; 9.1. Global architecture definition; 9.2. Functional specification.