Cloud manufacturing: a computing and service-oriented manufacturing model

1. Cloud manufacturing: a computing and service-orientedmanufacturing model 生四甲 497431074 邱妙楓

2. Introduction

3. many advanced manufacturing models and technologies have been proposed in order to realize the aim of TQCSEFK for manufacturing enterprise • many advanced manufacturing technologies or models all centreon network, resource sharing, and cooperative work

4. some bottleneck problems need further research • some new technologies have emerged, and have been widely applied in various fields • four typical CMfg service platforms, namely the public, private, community, and hybrid CMfg service platforms, are investigated

5. Concept and architecture of cloudmanufacturing

8. Core enabling technologies forcloud manufacturing

9. existing manufacturing informationizationtechnologies • cloud computing • IoTtechnologies • virtualization • service-oriented technologies • advanced computing technologies

10. Typical characteristics of cloudmanufacturing

11. service-and requirement-oriented • dynamic with uncertainty • knowledge-based • initiative • physically distributed and logically centralized • wikipediastyle and group innovation-based • manufacturing • lower threshold and outsourcing

12. Difference and relationshipbetween cloud computing andcloud manufacturing

13. Infrastructure as a service (IaaS) • Platform as a service (PaaS) • Software as a service (SaaS)

15. Classification of cloudmanufacturing service platform

16. there are primarily four kinds of CMfg service platform: • a public CMfg service platform • a private CMfg service platform • a community CMfg service platform • an hybrid CMfg service platform

17. Key technologies and main researchcontents of cloud manufacturing

18. architecture, models, standards, and criteria • intelligent perception, connection technologies, and equipment for various physical manufacturing resource and ability • knowledge-based resource virtualization and virtual resource management technologies • cloud service encapsulation technologies of manufacturing resource and ability

19. cloud service comprehensive management technologies • task management • manufacturing ability and cloud service transaction process management • user business management and ubiquitous interface development • service platform development and management • safety and security technologies

20. Key advantages and challengesof cloud manufacturing

21. can reduce resource idle capacity and increase utilization • can reduce the up-front investments and lower the cost of entry for SMEs • can lead to reduced infrastructure and administrative cost, energy saving, and reduced upgrades and maintenance cost

22. makes it easier for manufacturing enterprises to scale their production and business according to client demand • can generate new types and classes of manufacturing/business model or process and deliver manufacturing services that were not previously possible • can optimize industrial distribution and speed up the transformation

23. Conclusions

24. realize free transactions and currency, and the sharing and cooperation, and on-demand use of manufacturing resource and ability • speed up the transformation from production-oriented manufacturing to service-oriented manufacturing • promote the services of competitive power and innovation based on knowledge of manufacturing enterprise

25. Reference • Cloud manufacturing: a computing and service-oriented manufacturing model • Wikipedia

26. Thanks for your listening!