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Manufacturing task semantic modeling and description in cloud manufacturing system

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Abstract

Cloud manufacturing (CMfg) is emerging as an advanced service-oriented manufacturing model for the manufacturing industry. It is changing the way manufacturing enterprises organize production activities in that tangible and intangible manufacturing resources encapsulated as virtualized manufacturing services are provided to customers. In this background, CMfg task semantic modeling and description is proposed to address different challenges such as matching with manufacturing services. Firstly, some of the essential features of CMfg tasks are briefly discussed and classification as well as the modeling requirements of CMfg tasks is also investigated, and then this paper proposes the modeling framework of CMfg task to solve the general CMfg task ontology (GCMT_Ontology) construction and the task sub-ontology matching from GCMT_Ontology. In GCMT_Ontology construction process, the original CMfg task ontology (OCMT_Ontology) is built from the CMfg task description model, and then an ontology learning approach is advanced to perfect the GCMT_Ontology with graph-based semantic similarity algorithm. In task sub-ontology matching process, semantic feature values of concepts are calculated to extend the semantic content of the task document, and the extended concepts are input to find the sub-ontology by computing minimum connected sub-graph. Finally, the proposed framework is realized in a prototype system, and an example of cement grinding mill assembling task is carried out in a group enterprise to illustrate the application. The results show that the proposed method improves enterprise collaboration and interoperation effectively.

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References

  1. Lee C (2004) Development of a dynamic data interchange scheme to support product design in agile manufacturing. Int J Prod Econ 87(3):295–308

    Article  Google Scholar 

  2. Ni Y, Fan F, Yan J, Ma D, Jin Y (2003) An asynchronous and synchronous coupling approach in networked rapid product development. Int J Adv Manuf Technol 22(1–2):26–32

    Article  Google Scholar 

  3. Ye N (2002) Information infrastructure of engineering collaboration in a distributed virtual enterprise. Int J Comput Integr Manuf 15(3):265–273

    Article  Google Scholar 

  4. Lu T, Yih Y (2001) An agent-based production control framework for multiple-line collaborative manufacturing. Int J Prod Res 39(10):2155–2176

    Article  MATH  Google Scholar 

  5. Liang XD, Yang Y, Deng GY, Zhang RY, Li HF (2011) Distributed manufacturing model based on customer collaborative innovation. Adv Sci Lett 4(6–7):2213–2217

    Article  Google Scholar 

  6. Mahesh M, Ong SK, Nee AYC (2007) A web-based multi-agent system for distributed digital manufacturing. Int J Comput Integr Manuf 20(1):11–27

    Article  Google Scholar 

  7. Zhou ZD, Ai QS, Xie SQ, Liu Q, Hu P (2009) A MGrid-based information sharing system for distributed product information. Int J Comput Integr Manuf 22(8):758–773

    Article  Google Scholar 

  8. Tao F, Zhang L, Nee AYC (2011) A review of the application of grid technology in manufacturing. Int J Prod Res 49(13):4119–4155

    Article  Google Scholar 

  9. Liu Q, Shi YJ (2008) Gird manufacturing: a new solution for cross-enterprise collaboration. Int J Adv Manuf Technol 36(1–2):205–212

    Article  Google Scholar 

  10. Shi S, Yang H, Liu H, Hou J (2009) A resource allocation method based on competitiveness equilibrium for manufacturing grid. Int J Adv Manuf Technol 41(9–10):997–1002

    Article  Google Scholar 

  11. Tao F, Zhang L, Venkatesh VC, Luo Y, Cheng Y (2011) Cloud manufacturing: a computing and service-oriented manufacturing model. Proc Inst Mech Eng B J Eng Manuf 225(10):1969–1976

    Article  Google Scholar 

  12. Zhang L, Luo Y, Tao F, Li BH, Ren L, Zhang X, Guo H, Cheng Y, Hu A, Liu Y (2012) Cloud manufacturing: a new manufacturing paradigm. Enterp Inf Syst (ahead-of-print) 1–21

  13. Xu X (2012) From cloud computing to cloud manufacturing. Robot Comput Integr Manuf 28(1):75–86

    Article  Google Scholar 

  14. Laili Y, Tao F, Zhang L, Sarker BR (2012) A study of optimal allocation of computing resources in cloud manufacturing systems. Int J Adv Manuf Technol 63(5–8):671–690

    Article  Google Scholar 

  15. Laili Y, Tao F, Zhang L, Cheng Y, Luo Y, Sarker BR (2013) A ranking chaos algorithm for dual scheduling of cloud service and computing resource in private cloud. Comput Ind 64(4):448–463

    Article  Google Scholar 

  16. Tao F, LaiLi Y, Xu L, Zhang L (2013) FC-PACO-RM: a parallel method for service composition optimal-selection in cloud manufacturing system. IEEE Trans Ind Inform 9(4):2023–2033

    Article  Google Scholar 

  17. Hai R, Theissen M, Marquardt W (2011) An ontology based approach for operational process modeling. Adv Eng Inform 25(4):748–759

    Article  Google Scholar 

  18. Ray SR, AT Jones (2003) Manufacturing interoperability, concurrent engineering: enhanced interoperable system. In: Proceedings of the 10th ISPE International Conference, Madeira Island, Portugal, pp. 535–540

  19. Noy NF, McGuinness DL (2001) Ontology development 101: a guide to creating your first ontology. Stanford University, Stanford

    Google Scholar 

  20. Giachetti RE (1999) A standard manufacturing information model to support design for manufacturing in virtual enterprises. J Intell Manuf 10(1):49–60

    Article  Google Scholar 

  21. Chunga SY, Leea DY (2005) An augmented Petri net for modelling and control of assembly tasks with uncertainties. Int J Comput Integr Manuf 18(2–3):170–178

    Article  Google Scholar 

  22. Yao CF, Zhang DH, Bu K, Wang ZQ (2009) Collaborative manufacturing task information model and its model building method for complex parts. Comput Integr Manuf Syst 15(1):47–52

    Google Scholar 

  23. Sudarsan R, Fenves SJ, Sriram RD, Wang F (2005) A product information modeling framework for product lifecycle management. Comput Aided Des 37(13):1399–1411

    Article  Google Scholar 

  24. He Y, Zhang Q, Hu D (2011) Research on ontology-based task modeling in manufacturing grid. Appl Mech Mater 63–64:537–540

    Article  Google Scholar 

  25. Hu Y, Tao F, Zhao D, Zhou Z (2009) Manufacturing grid resource and resource service digital description. Int J Adv Manuf Technol 44(9–10):1024–1035

    Article  Google Scholar 

  26. Li B, Zhang L, Wang S, Tao F (2010) Cloud manufacturing: a new service-oriented networked manufacturing model. Comput Integr Manuf Syst 16(1):1–8

    Google Scholar 

  27. Singh G, Prabhakar T, Chatterjee J, Patil V, Ninomiya S (2006) OntoViz: visualizing ontologies and thesauri using layout algorithms. In: AFITA: The fifth international conference of the Asian Federation for Information Technology in Agriculture, JN Tata Auditorium, Indian, pp. 709–719

  28. Toutanova K, Manning CD (2000) Enriching the knowledge sources used in a maximum entropy part-of-speech tagger. In: Proceedings of the 2000 joint SIGDAT conference on empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics—volume 13, Association for, Computational Linguistics, pp. 63–70

  29. Chen R, Liang J, Pan R (2008) Using recursive ART network to construction domain ontology based on term frequency and inverse document frequency. Expert Syst Appl 34(1):488–501

    Article  Google Scholar 

  30. Gamallo P, Bordag S (2010) Is singular value decomposition useful for word similarity extraction? Lang Resour Eval 45(2):95–119

    Article  Google Scholar 

  31. Chen R, Chuang C (2008) Automating construction of a domain ontology using a projective adaptive resonance theory neural network and Bayesian network. Expert Syst 25(4):414–430

    Article  Google Scholar 

  32. Shih C, Chen M, Chu H, Chen Y (2011) Enhancement of domain ontology construction using a crystallizing approach. Expert Syst Appl 38(6):7544–7557

    Article  Google Scholar 

  33. Tao F, Hu Y, Zhao D, Zhou Z (2008) Study on resource service match and search in manufacturing grid system. Int J Adv Manuf Technol 43(3–4):379–399

    Google Scholar 

  34. Zhang X, Hou X, Chen X, Zhuang T (2013) Ontology-based semantic retrieval for engineering domain knowledge. Neurocomputing 116(1):382–391

    Google Scholar 

  35. McGuinness DL, Van Harmelen F (2004) OWL web ontology language overview. W3C recommendation, February 2004. http://www.w3.org/TR/owl-features/. Accessed 10 Feb 2004

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Correspondence to Tianri Wang.

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Wang, T., Guo, S. & Lee, CG. Manufacturing task semantic modeling and description in cloud manufacturing system. Int J Adv Manuf Technol 71, 2017–2031 (2014). https://doi.org/10.1007/s00170-014-5607-z

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  • DOI: https://doi.org/10.1007/s00170-014-5607-z

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