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Cloud-Based Cyber-Physical Systems in Manufacturing pp 297–323Cite as

Architecture Design of Cloud CPS in Manufacturing

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Abstract

Cloud manufacturing is a new concept extending and adopting the concept of cloud computing for manufacturing. The aim is to transform manufacturing businesses to a new paradigm in that manufacturing capabilities and resources are componentised, integrated and optimised globally. This chapter presents an interoperable manufacturing perspective based on cloud manufacturing. A literature search has been undertaken regarding cloud architecture and technologies that can assist cloud manufacturing. Manufacturing resources and capabilities are discussed in terms of cloud services. A service-oriented, interoperable cloud manufacturing system is introduced. Service methodologies are developed to support two types of cloud users, i.e. customer user and enterprise user, along with standardised data models describing cloud service and relevant features. Two case studies are undertaken to evaluate the reported system. Cloud technology brings into manufacturing industry with a number of benefits such as openness , cost-efficiency, resource sharing and production scalability .

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References

  1. P. Mell, T. Grance, The NIST definition of cloud computing. NIST Spec. Publ. 800, 7 (2011)

    Google Scholar 

  2. P. Mell, T. Grance, Perspectives on Cloud Computing and Standards (National Institute of Standards and Technology (NIST), Information Technology Laboratory, 2009)

    Google Scholar 

  3. Apple, iCloud (2012, April). Available https://www.icloud.com/

  4. Amazon, Amazon Elastic Compute Cloud (EC2) (2012, April). Available http://aws.amazon.com/ec2/

  5. Google, Google App Engine—Google Code (2012, Nov). Available http://code.google.com/intl/en/appengine/

  6. Microsoft, Windows Azure Platform_Microsoft Cloud Services (2012, Nov). Available http://www.microsoft.com/windowsazure/

  7. Oracle, Sun Cloud Developer Homepage (2012, Nov). Available http://developers.sun.com/cloud/

  8. X. Xu, From Cloud Computing to Cloud Manufacturing. Robot. Comput. Integr. Manuf. 28, 75–86 (2012)

    Article  Google Scholar 

  9. F. Tao et al., Cloud Manufacturing: a Computing and Service-oriented Manufacturing Model. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 225, 1969–1976 (2011)

    Article  Google Scholar 

  10. B. Li et al., Cloud manufacturing: a new service-oriented networked manufacturing model. Comput. Integr. Manuf. Syst. 16, 1–7 (2010)

    Google Scholar 

  11. W. Terkaj et al., Virtual Factory Data Model in Proceedings of the Second International Workshop on Searching and Integrating New Web Data Sources (VLDS 2012), Istanbul, Turkey, 2012

    Google Scholar 

  12. M. Meier et al., ManuCloud: the next-generation manufacturing as a service environment. ERCIM News 83, 33–34 (2010)

    Google Scholar 

  13. O.E. Ruiz et al., EGCL: an extended g-code language with flow control, functions and mnemonic variables. World Acad. Sci. Eng. Technol. 67, 455–462 (2012)

    Google Scholar 

  14. A.L.K. Yip et al. A front-end system to support cloud-based manfuacturing of cutstomized products in Proceedings of the 9th International Conference on Manufacturing Research ICMR 2011, Glasgow, UK, 193–198, 2011

    Google Scholar 

  15. L. Wu, C. Yang, A solution of manufacturing resources sharing in cloud computing environment. Coop. Des. Vis. Eng. Lect Notes Comput. Sci. 6240, 247–252 (2010)

    Article  Google Scholar 

  16. C.S. Hu et al., Study of classification and modeling of virtual resources in cloud manufacturing. Appl. Mech. Mater. 121–126, 2274–2280 (2012)

    Google Scholar 

  17. Y.L. Luo et al., Study on multi-view model for cloud manufacturing. Adv. Mater. Res. 201, 685–688 (2011)

    Article  Google Scholar 

  18. Y.L. Luo et al., Research on the knowledge-based multi-dimensional information model of manufacturing capability in CMfg. Adv. Mater. Res. 472, 2592–2595 (2012)

    Article  Google Scholar 

  19. L. Zhang et al., Flexible Management of Resource Service Composition in Cloud Manufacturing, in Proceedings of the 2010 IEEE IEEM, 2278–2282, 2010

    Google Scholar 

  20. Q. Liu et al., Resource Management Based on Multi-agent Technology for Cloud Manufacturing, in International Conference on Electronics, Communications and Control (ICECC), Zhejiang, China, 2821–2824, 2011

    Google Scholar 

  21. W.H. Fan, T.Y. Xiao, Integrated Architecture of Cloud Manufacturing Based on Federation Mode. Comput. Integr. Manuf. Syst. 17, 469–476 (2011)

    Google Scholar 

  22. Y. Laili et al., A study of optimal allocation of computing resources in cloud manufacturing systems. Int. J. Adv. Manuf. Technol. 63, 1–20 (2012)

    Article  Google Scholar 

  23. X.V. Wang, X. Xu, ICMS: a cloud-based manufacturing system, in Cloud Manufacturing: Distributed Computing Technologies for Global and Sustainable Manufacturing, ed. by W. Li, J. Mehnen (Springer, 2012 in press)

    Google Scholar 

  24. G. Buonanno et al., Factors affecting ERP system adoption: a comparative analysis between SMEs and large companies. J. Enterp. Inf. Manag. 18, 384–426 (2005)

    Article  Google Scholar 

  25. T.F. Gattiker, D.L. Goodhue, What happens after ERP implementation: understanding the impact of interdependence and differentiation on plant-level outcomes. MIS Q. 29, 559–585 (2005)

    Google Scholar 

  26. D.G. Ko et al., Antecedents of knowledge transfer from consultants to clients in enterprise system implementations. MIS Q. 29, 59–85 (2005)

    Google Scholar 

  27. H. Liang et al., Assimilation of enterprise systems: the effect of institutional pressures and the mediating role of top management. MIS Q. 31, 59–87 (2007)

    Google Scholar 

  28. C.C. Wei et al., An AHP-based approach to ERP system selection. Int. J. Prod. Econ. 96, 47–62 (2005)

    Article  Google Scholar 

  29. A. Paulraj et al., Inter-organizational communication as a relational competency: antecedents and performance outcomes in collaborative buyer-supplier relationships. J. Oper. Manag. 26, 45–64 (2008)

    Article  Google Scholar 

  30. S.B. Modi, V.A. Mabert, Supplier development: improving supplier performance through knowledge transfer. J. Oper. Manag. 25, 42–64 (2007)

    Article  Google Scholar 

  31. M.P. Papazoglou, W.J. Van Den Heuvel, Service oriented architectures: approaches, technologies and research issues. VLDB J. 16, 389–415 (2007)

    Article  Google Scholar 

  32. L. Cherbakov et al., Impact of service orientation at the business level. IBM Syst. J. 44, 653–668 (2005)

    Article  Google Scholar 

  33. M.T. Schmidt et al., The enterprise service bus: making service-oriented architecture real. IBM Syst. J. 44, 781–797 (2005)

    Article  Google Scholar 

  34. P. Rauyruen, K.E. Miller, Relationship quality as a predictor of B2B customer loyalty. J. Bus. Res. 60, 21–31 (2007)

    Article  Google Scholar 

  35. P.A. Bernstein, S. Melnik, Model Management 2.0: Manipulating Richer Mappings. Presented at the SIGMOD 07’ international conference on management of Data, Beijing, China, 2007

    Google Scholar 

  36. ISO, ISO 10303 -1, Industrial Automation Systems and Integration—Product Data Representation and Exchange—Part 1: Overview and Fundamental Principles. (ISO, Geneva, 1994)

    Google Scholar 

  37. ISO 14649-1, Industrial Automation Systems and Integration—Physical Device Control—Data Model for Computerized Numerical Controllers—Part 1: Overview and Fundamental Principles, 2003

    Google Scholar 

  38. W. Gielingh, An assessment of the current state of product data technologies. CAD Comput. Aided Des. 40, 750–759 (2008)

    Article  Google Scholar 

  39. L. Zhang et al., Key technologies for the construction of manufacturing cloud. Comput. Integr. Manuf. Syst. 16, 2510–2520 (2010)

    Google Scholar 

  40. R.D. Allen et al., The application of STEP-NC using agent-based process planning. Int. J. Prod. Res. 43, 655–670 (2005)

    Article  MATH  Google Scholar 

  41. L. Monostori et al., Agent-based systems for manufacturing. Ann. CIRP 55, 697–720 (2006)

    Article  Google Scholar 

  42. A. Nassehi et al., The application of multi-agent systems for STEP-NC computer aided process planning of prismatic components. Int. J. Mach. Tools Manuf. 46, 559–574 (2006)

    Article  Google Scholar 

  43. H. Panetto, A. Molina, Enterprise Integration and Interoperability in Manufacturing Systems: trends and Issues. Comput. Ind. 59, 641–646 (2008)

    Article  Google Scholar 

  44. M. Sadeghi et al., A collaborative platform architecture for coherence management in multi-view integrated product modelling. Int. J. Comput. Integr. Manuf. 23, 270–282 (2010)

    Article  Google Scholar 

  45. A.J. Álvares et al., An Integrated Web-based CAD/CAPP/CAM system for the remote design and manufacture of feature-based cylindrical parts. J. Intell. Manuf. 19, 643–659 (2008)

    Article  Google Scholar 

  46. C. Brecher et al., Module-based Platform for Seamless Interoperable CAD-CAM-CNC Planning, in Advanced Design and Manufacturing Based on STEP, ed. by X.W. Xu, A.Y.C. Nee (London: Springer, 439–462, 2009)

    Google Scholar 

  47. S.C. Oh, S.T. Yee, Manufacturing interoperability using a semantic mediation. Int. J. Adv. Manuf. Technol. 39, 199–210 (2008)

    Article  Google Scholar 

  48. Y. Zhang et al., Understanding the STEP-NC data model for computer numerical control, in Advanced Computer Control (ICACC), 2nd International Conference on, 2010, 300–304

    Google Scholar 

  49. O.F. Valilai, M. Houshmand, INFELT STEP: an integrated and interoperable platform for collaborative CAD/CAPP/CAM/CNC machining systems based on STEP standard. Int. J. Comput. Integr. Manuf. 23, 1095 (2010)

    Article  Google Scholar 

  50. J. Yang et al., OpenPDM-based product data exchange among heterogeneous pdm systems in a distributed environment. Int. J. Adv. Manuf. Technol. 40, 1033–1043 (2009)

    Article  Google Scholar 

  51. S. Makris et al., On the information modeling for the electronic operation of supply chains: a maritime case study. Robot. Comput. Integr. Manuf. 24, 140–149 (2008)

    Article  Google Scholar 

  52. G. Chryssolouris et al., Towards the Internet based supply chain management for the ship repair industry. Int. J. Comput. Integr. Manuf. 17, 45–57 (2004)

    Article  Google Scholar 

  53. D. Mavrikios et al., A New concept for collaborative product and process design within a human-oriented collaborative manufacturing environment. Future Prod. Dev. 301–310 (2007)

    Google Scholar 

  54. M. Pappas et al., A Collaboration Platform for Product Design Evaluation, Demonstration and Customization. Presented at the IFAC workshop on manufacturing modelling, management and control, Budapest, Hungary, 2007

    Google Scholar 

  55. S. Makris, K. Alexopoulos, AutomationML server-A prototype data management system for multi disciplinary production engineering. Procedia CIRP 2, 22–27 (2012)

    Article  Google Scholar 

  56. B. Asiabanpour et al., An overview on five approaches for translating CAD data into manufacturing information. J. Adv. Manuf. Syst. 8, 89–114 (2009)

    Article  Google Scholar 

  57. S.T. Newman et al., Strategic advantages of interoperability for global manufacturing using CNC technology. Robot. Comput. Integr. Manuf. 24(2008), 699–708 (2008)

    Article  Google Scholar 

  58. A. Nassehi et al., Toward interoperable CNC manufacturing. Comput. Integr. Manuf. 21, 222–230 (2008)

    Article  Google Scholar 

  59. S.T. Newman, A. Nassehi, Universal manufacturing platform for CNC machining. Ann. CIRP 56, 459 (2007)

    Article  Google Scholar 

  60. A. Mokhtar, M. Houshmand, Introducing a roadmap to implement the universal manufacturing platform using axiomatic design theory. Int. J. Manuf. Res. 5, 252–269 (2010)

    Article  Google Scholar 

  61. P. Vichare et al., A unified manufacturing resource model for representation of computerized numerically controlled machine tools. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 223, 463–483 (2009)

    Article  Google Scholar 

  62. N. Do, G. Chae, A product data management architecture for integrating hardware and software development. Comput. Ind. 62, 854–863 (2011)

    Article  Google Scholar 

  63. J. Hwang et al., Representation and propagation of engineering change information in collaborative product development using a neutral reference model. Concur. Eng. 17, 147–157 (2009)

    Article  Google Scholar 

  64. S.S. Choi et al., XML-based neutral file and PLM integrator for PPR information exchange between heterogeneous PLM systems. Int. J. Comput. Integr. Manuf. 23, 216–228 (2010)

    Article  Google Scholar 

  65. R. Jardim-Goncalves et al., Knowledge framework for intelligent manufacturing systems. J. Intell. Manuf. 22, 725–735 (2011)

    Article  Google Scholar 

  66. ISO 10303-236, Industrial Automation Systems and Integration—Product Data Representation and Exchange—Part 236: Application Protocol: Furniture Catalog and Interior Design, (2003)

    Google Scholar 

  67. B.C. Kim et al., Web service with parallel processing capabilities for the retrieval of cad assembly data. Concur. Eng. Res. Appl. 19, 5–18 (2011)

    Article  Google Scholar 

  68. STEP Tools, ST-Developer—STEP Tools, Inc (2011, Nov). Available http://www.steptools.com/products/stdev/

  69. Y. Kikuchi et al., PDQ (Product Data Quality): representation of data quality for product data and specifically for shape data. J. Comput. Inf. Sci. Eng. 10, 1–8 (2010)

    Article  Google Scholar 

  70. M. Graube et al., Linked Data as Integrating Technology for Industrial Data, in 2011 International Conference on Network-Based Information Systems (NBiS), Tirana, Albania, 162–167, 2011

    Google Scholar 

  71. J.Y. Lee et al., NESIS: A neutral schema for a web-based simulation model exchange service across heterogeneous simulation software. Int. J. Comput. Integr. Manuf. 24, 948–969 (2011)

    Article  Google Scholar 

  72. I.-H. Song et al., Development of a lightweight CAE middleware for CAE data exchange. Int. J. Comput. Integr. Manuf. 22, 823–835 (2009)

    Article  Google Scholar 

  73. Q. Li et al., Towards the business-information technology alignment in cloud computing environment: an approach based on collaboration points and agents. Int. J. Comput. Integr. Manuf. 24, 1038–1057

    Google Scholar 

  74. ISO, ISO 10303-11, Industrial Automation Systems and Integration—Product Data Representation and Exchange—Part 11: Description Methods: The EXPRESS Language Reference Manual (2004)

    Google Scholar 

  75. ISO 10303-21, Industrial Automation Systems and Integration—Product Data Representation and Exchange—Part 21: Implementation Methods: Clear Text Encoding of the Exchange Structure (2002)

    Google Scholar 

  76. G. Hu et al., Cloud robotics: architecture, challenges and applications. Netw. IEEE 26, 21–28 (2012)

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

    Lihui Wang & Xi Vincent Wang

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  1. Lihui Wang
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  2. Xi Vincent Wang
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Correspondence to Lihui Wang .

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Wang, L., Wang, X.V. (2018). Architecture Design of Cloud CPS in Manufacturing. In: Cloud-Based Cyber-Physical Systems in Manufacturing . Springer, Cham. https://doi.org/10.1007/978-3-319-67693-7_12

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  • DOI: https://doi.org/10.1007/978-3-319-67693-7_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67692-0

  • Online ISBN: 978-3-319-67693-7

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