Cloud manufacturing developments: a review

被引：0
作者：
Baloyi M.N. [1 ]
Mpofu K. [1 ]
Adenuga O.T. [1 ]
Muvunzi R. [1 ]
Ramatsetse B.I. [2 ]
机构：
[1] Department of Industrial Engineering, Tshwane University of Technology, Pretoria
[2] Department of Educational Information and Engineering Technology (EDIET), University of the Witwatersrand, Johannesburg
来源：
International Journal of Internet Manufacturing and Services | 2023年 / 9卷 / 01期
基金：
新加坡国家研究基金会;
关键词：
application cloud manufacturing; cloud manufacturing definitions; key technologies; radical manufacturing;
D O I：
10.1504/IJIMS.2023.129284
中图分类号：
学科分类号：
摘要：
Many scholarly articles have presented meaningful research on cloud manufacturing (CM), but over the past years, new paradigms of CM have emerged. This has brought diverse and interesting developments. The study presents the growth, developments and latest changes in literature in the past 11 years. The reviewed papers were based on the Scopus database (Elsevier springer, SAGE, Emerald, Francis, IJIMS and Wiley). Results on the first dimension show the number of publications between 2010 and 2021 covering 145 to 5,307 journal papers. According to the outcomes on the second dimension based on origin publications related to origin, China has 46% CM research publications. The third dimension focused on CM journal publications in IEEE Access as the most publication. The fourth dimension shows CM growth over the years. The significance of the findings is in the interest of CM as being evident that research is growing from concept to realisation. Copyright © 2023 Inderscience Enterprises Ltd.
引用
收藏
页码：1 / 15
页数：14
相关论文
共 47 条
  • [11] Gaiardelli P., Pezzotta G., Rondini A., Romero D., Jarrahi F., Bertoni M., Wiesner S., Wuest T., Larsson T., Zaki M., Jussen P., Product-service systems evolution in the era of industry 4.0, Service Business, 15, 1, pp. 177-207, (2021)
  • [12] Guo L., Wang S., Kang L., Cao Y., Agent-based manufacturing service discovery method for cloud manufacturing, The International Journal of Advanced Manufacturing Technology, 81, 9, pp. 2167-2181, (2015)
  • [13] Hassanzadeh A., Razavi Smm, Mohaghar A., Houshmand M., Safari H., Cloud manufacturing: from a concept to a way for being lean, International Journal of Research in Industrial Engineering, 7, 2, pp. 206-223, (2018)
  • [14] Huang B., Li C., Yin C., Zhao X., Cloud manufacturing service platform for small and medium-sized enterprises, The International Journal of Advanced Manufacturing Technology, 65, 9–12, pp. 1261-1272, (2013)
  • [15] Kassim N., Yusof Y., Mohamad M., Halim A., Omar R., Bahrudin I., Ali M., An overview of cloud implementation in the manufacturing process life cycle, IOP Conference Series: Materials Science and Engineering, International Research and Innovation Summit (IRIS2017), (2017)
  • [16] Leitao P., Agent-based distributed manufacturing control: a state-of-the-art survey, Engineering Applications of Artificial Intelligence, 22, 7, pp. 979-991, (2009)
  • [17] Li B., Zhang L., Wang S., Tao F., Cao J., Jiang X., Song X., Chai X., Cloud manufacturing: a new service-oriented networked manufacturing model, (2010)
  • [18] Li B.H., Zhang L., Ren L., Chai X.D., Tao F., Luo Y.L., Wang Y.Z., Yin C., Huang G., Zhao X.P., Further discussion on cloud manufacturing, Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, in Chinese, 17, 3, pp. 449-457, (2011)
  • [19] Li S., Xu L.D., Zhao S., 5g internet of things: a survey, Journal of Industrial Information Integration, 10, pp. 1-9, (2018)
  • [20] Liang H., Wen X., Liu Y., Zhang H., Zhang L., Wang L., Logistics-involved QoS-aware service composition in cloud manufacturing with deep reinforcement learning, Robotics and Computer-Integrated Manufacturing, 67, (2021)
12345