A state-of-the-art study of cloud manufacturing

  • Authors

    • Noor Hatema
    • Yusri Yusof
    • Aini Zuhra A. Kadir
    • Mohammed M A
    2018-05-22
    https://doi.org/10.14419/ijet.v7i2.29.13122
  • cloud computing, cloud manufacturing, manufacturing cloud service, distributed resources

  • There is a considerable industrial standard transfer. This will drive to the adaptable usage of various globally shared, emerging within the manufacturing field by Combining advanced manufacturing models such as the Internet of things, cloud computing, service-oriented technologies, big data, and recently Cloud Manufacturing. Cloud manufacturing a program is a combined program that empowers manufacturers to distribute sources contribute manufacturing services and including supports compatible cooperation. Economically significantources, such as the manufacture of software tools, importance, knowledge, and manufacturing capacity, and material, then become available to supposed users on a global basis, the principal benefits and difficulties of achieving cloud manufacturing are analyzed. the key New technologies for manufacturing model, is cloud manufacturing, cloud manufacturing aims to achieve full participation, free of charge, And easy for utilization of various sources and manufacturing abilities in the form of manufacturing setting. This paper contributes an overview of the cloud manufacturing.

     

     

  • References

    1. [1]. T. L. Friedman, “It’s a flat world, after all,†New York Times, vol. 3, pp. 33–37, 2005.

      [2]. O. F. Valilai and M. Houshmand, “A collaborative and integrated platform to support distributed manufacturing system using a service-oriented approach based on cloud computing paradigm,†Robot. Comput. Integr. Manuf., vol. 29, no. 1, pp. 110–127, 2013.

      [3]. F. Tao, L. Zhang, H. Guo, Y.-L. Luo, and L. Ren, “Typical characteristics of cloud manufacturing and several key issues of cloud service composition,†Comput. Integr. Manuf. Syst., vol. 17, no. 3, pp. 477–486, 2011.

      [4]. Y. Zhang, Z. Li, L. Xu, and J. Wang, “A new method for automatic synthesis of tolerances for complex assemblies based on polychromatic sets,†Enterp. Inf. Syst., vol. 5, no. 3, pp. 337–358, 2011.

      [5]. P. A. Laplante, Comprehensive dictionary of electrical engineering. CRC Press, 2005.

      [6]. L. Xu*, Z. Li, S. Li, and F. Tang, “A polychromatic sets approach to the conceptual design of machine tools,†Int. J. Prod. Res., vol. 43, no. 12, pp. 2397–2421, 2005.

      [7]. D. Herrero-Perez and H. Martinez-Barbera, “Modeling distributed transportation systems composed of flexible automated guided vehicles in flexible manufacturing systems,†IEEE Trans. Ind. Informatics, vol. 6, no. 2, pp. 166–180, 2010.

      [8]. L. M. Sanchez and R. Nagi, “A review of agile manufacturing systems,†Int. J. Prod. Res., vol. 39, no. 16, pp. 3561–3600, 2001.

      [9]. C. Rusinko, “Green manufacturing: an evaluation of environmentally sustainable manufacturing practices and their impact on competitive outcomes,†IEEE Trans. Eng. Manag., vol. 54, no. 3, pp. 445–454, 2007.

      [10]. F. Jovane et al., “The incoming global technological and industrial revolution towards competitive sustainable manufacturing,†CIRP Ann. Technol., vol. 57, no. 2, pp. 641–659, 2008.

      [11]. S.-H. Hur, R. Katebi, and A. Taylor, “Modeling and control of a plastic film manufacturing web process,†IEEE Trans. Ind. Informatics, vol. 7, no. 2, pp. 171–178, 2011.

      [12]. F. Tao, D. Zhao, and L. Zhang, “Resource service optimal-selection based on intuitionistic fuzzy set and non-functionality QoS in manufacturing grid system,†Knowl. Inf. Syst., vol. 25, no. 1, pp. 185–208, 2010.

      [13]. I. Sindicic, S. Bogdan, and T. Petrovic, “Resource allocation in free-choice multiple reentrant manufacturing systems based on machine-job incidence matrix,†IEEE Trans. Ind. informatics, vol. 7, no. 1, pp. 105–114, 2011.

      [14]. F. Tao, Y. LaiLi, L. Xu, and L. Zhang, “FC-PACO-RM: a parallel method for service composition optimal-selection in cloud manufacturing system,†IEEE Trans. Ind. Informatics, vol. 9, no. 4, pp. 2023–2033, 2013.

      [15]. S. Fang et al., “An integrated approach to snowmelt flood forecasting in water resource management,†IEEE Trans. Ind. informatics, vol. 10, no. 1, pp. 548–558, 2014.

      [16]. F. Tao, H. Guo, L. Zhang, and Y. Cheng, “Modelling of combinable relationship-based composition service network and the theoretical proof of its scale-free characteristics,†Enterp. Inf. Syst., vol. 6, no. 4, pp. 373–404, 2012.

      [17]. F. Tao, L. Zhang, K. Lu, and D. Zhao, “Research on manufacturing grid resource service optimal-selection and composition framework,†Enterp. Inf. Syst., vol. 6, no. 2, pp. 237–264, 2012.

      [18]. L. Da Xu, W. Viriyasitavat, P. Ruchikachorn, and A. Martin, “Using propositional logic for requirements verification of service workflow,†IEEE Trans. Ind. Informatics, vol. 8, no. 3, pp. 639–646, 2012.

      [19]. W. Viriyasitavat, L. Da Xu, and A. Martin, “SWSpec: the requirements specification language in service workflow environments,†IEEE Trans. Ind. Informatics, vol. 8, no. 3, pp. 631–638, 2012.

      [20]. M. Ulieru and M. Cobzaru, “Building holonic supply chain management systems: An e-logistics application for the telephone manufacturing industry,†IEEE Trans. Ind. Informatics, vol. 1, no. 1, pp. 18–30, 2005.

      [21]. D. Parkhill, “The Challenge of The Computer Utility. 1966.†Addison-Wesley Educational Publishers Inc, US.

      [22]. L. Zhang et al., “Cloud manufacturing: a new manufacturing paradigm,†Enterp. Inf. Syst., vol. 8, no. 2, pp. 167–187, 2014.

      [23]. X. Xu, “From cloud computing to cloud manufacturing,†Robot. Comput. Integr. Manuf., vol. 28, no. 1, pp. 75–86, 2012.

      [24]. B.-H. Li et al., “Cloud manufacturing: a new service-oriented networked manufacturing model,†Comput. Integr. Manuf. Syst., vol. 16, no. 1, pp. 1–7, 2010.

      [25]. F. Tao, L. Zhang, V. C. Venkatesh, Y. Luo, and Y. Cheng, “Cloud manufacturing: a computing and service-oriented manufacturing model,†Proc. Inst. Mech. Eng. Part B J. Eng. Manuf., vol. 225, no. 10, pp. 1969–1976, 2011.

      [26]. L. Bohu, Z. Lin, and C. Xudong, “Introduction to cloud manufacturing,†ZTE Commun., vol. 16, no. 4, pp. 5–8, 2010.

      [27]. I. Mezgár, “Cloud computing technology for networked enterprises,†IFAC Proc. Vol., vol. 44, no. 1, pp. 11949–11954, 2011.

      [28]. D. Y. Tai and F. Y. Xu, “Cloud manufacturing based on cooperative concept of SDN,†in Advanced Materials Research, 2012, vol. 482, pp. 2424–2429.

      [29]. G. Kłosowski, “Cloud Manufacturing Concept as a Tool of Multimodal Manufacturing Systems Integration,†Found. Manag., vol. 4, no. 1, pp. 17–42, 2012.

      [30]. D. Wu, M. J. Greer, D. W. Rosen, and D. Schaefer, “Cloud manufacturing: drivers, current status, and future trends,†ASME Pap. No. MSEC2013-1106, 2013.

      [31]. G. Adamson, L. Wang, M. Holm, and P. Moore, “Cloud manufacturing–a critical review of recent development and future trends,†Int. J. Comput. Integr. Manuf., vol. 30, no. 4–5, pp. 347–380, 2017.

      [32]. Y. Liu and X. Xu, “Industry 4.0 and cloud manufacturing: A comparative analysis,†J. Manuf. Sci. Eng., vol. 139, no. 3, p. 34701, 2017.

      [33]. L. Yao, Y. Wang, Y. Kong, X. Cheng, and L. Ren, “Integrating desktop factory into manufacturing cloud: a conceptual model,†in Proceedings of the International Conference on Computer Information Systems and Industrial Applications, 2015.

      [34]. S. L. Campbell and C. D. Meyer, Generalized inverses of linear transformations. SIAM, 2009.

      [35]. J. Ashayeri, “Development of computer-aided maintenance resources planning (CAMRP): A case of multiple CNC machining centers,†Robot. Comput. Integr. Manuf., vol. 23, no. 6, pp. 614–623, 2007.

      [36]. F. Ning, W. Zhou, F. Zhang, Q. Yin, and X. Ni, “The architecture of cloud manufacturing and its key technologies research,†in Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on, 2011, pp. 259–263.

      [37]. W. He and L. Xu, “A state-of-the-art survey of cloud manufacturing,†Int. J. Comput. Integr. Manuf., vol. 28, no. 3, pp. 239–250, 2015.

      [38]. G. Adamson, M. Holm, P. Moore, and L. Wang, “A cloud service control approach for distributed and adaptive equipment control in cloud environments,†Procedia CIRP, vol. 41, pp. 644–649, 2016.

      [39]. T. Hebda, P. Czar, and C. Mascara, Handbook of informatics for nurses and health care professionals. Prentice Hall, 2005.

      [40]. S. V Nagalingam and G. C. I. Lin, “CIM—still the solution for manufacturing industry,†Robot. Comput. Integr. Manuf., vol. 24, no. 3, pp. 332–344, 2008.

      [41]. X. W. Xu* et al., “STEP-compliant NC research: the search for intelligent CAD/CAPP/CAM/CNC integration,†Int. J. Prod. Res., vol. 43, no. 17, pp. 3703–3743, 2005.

      [42]. F. Tao, Y. Hu, D. Zhao, Z. Zhou, H. Zhang, and Z. Lei, “Study on manufacturing grid resource service QoS modeling and evaluation,†Int. J. Adv. Manuf. Technol., vol. 41, no. 9, pp. 1034–1042, 2009.

      [43]. X. L. Xie, L. Liu, and Y. Z. Cao, “Trust model based on feedback evaluation in cloud manufacturing environment,†in Advanced Materials Research, 2011, vol. 308, pp. 1740–1745.

      [44]. Y. Z. Wang, S. N. Ma, and L. Ren, “A security framework for cloud manufacturing,†ASME Pap. No. MSEC2014-4082, 2014.

      [45]. F. Tao, L. Zhang, and A. Y. C. Nee, “A review of the application of grid technology in manufacturing,†Int. J. Prod. Res., vol. 49, no. 13, pp. 4119–4155, 2011.

  • Downloads

  • How to Cite

    Hatema, N., Yusof, Y., Zuhra A. Kadir, A., & M A, M. (2018). A state-of-the-art study of cloud manufacturing. International Journal of Engineering & Technology, 7(2.29), 34-37. https://doi.org/10.14419/ijet.v7i2.29.13122