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All issues Volume 426 (2023) E3S Web Conf., 426 (2023) 01066 References
Open Access
Issue
E3S Web Conf.
Volume 426, 2023
The 5th International Conference of Biospheric Harmony Advanced Research (ICOBAR 2023)
Article Number 01066
Number of page(s) 6
Section Integrated Sustainable Science and Technology Innovation
DOI https://doi.org/10.1051/e3sconf/202342601066
Published online 15 September 2023
  1. B. I. Wahyudin, I. Saleh, and S. Hasibuan, “Analysis for Enhancing Quality and Productivity Using Overall Equipment Effectiveness and Statistical Process Control in Manufacturing Industry Case Study: Manufacturing Industry Sport Shoes in Tangerang Region,” Int. J. Innov. Sci. Res. Technol., vol. 4, no. 12, pp. 108-114, 2019. [Google Scholar]
  2. M. Ariyo Raheem, “Application of Statistical Process Control in a Production Process,” Sci. J. Appl. Math. Stat., vol. 4, no. 1, p. 1, 2016. [CrossRef] [Google Scholar]
  3. P. Gejdoš, “Continuous Quality Improvement by Statistical Process Control,” Procedia Econ. Financ., vol. 34, no. 15, pp. 565–572, 2015. [CrossRef] [Google Scholar]
  4. A. R. Suhardi, U. Widyatama, V. S. Marinda, and U. Widyatama, “IMPLEMENTATION OF STATISTIC PROCESS CONTROL IN FLAT SHOES AND,” no. November, 2021. [Google Scholar]
  5. I. Madanhire and C. Mbohwa, “Application of Statistical Process Control (SPC) in Manufacturing Industry in a Developing Country,” Procedia CIRP, vol. 40, no. May, pp. 580–583, 2016. [CrossRef] [Google Scholar]
  6. N. Shrestha, “Application of Statistical Process Control Chart in Food Manufacturing Industry,” Int. J. Eng. Bus. Manag., vol. 4, no. 5, pp. 82–87, 2021. [CrossRef] [Google Scholar]
  7. R. Godina, C. Pimentel, F. J. G. Silva, and J. C. O. Matias, “Improvement of the Statistical Process Control Certainty in an Automotive Manufacturing Unit,” Procedia Manuf., vol. 17, no. November, pp. 729–736, 2018. [CrossRef] [Google Scholar]
  8. J. Li, “Application of Statistical Process Control in Engineering Quality Management,” IOP Conf. Ser. Earth Environ. Sci., vol. 831, no. 1, 2021. [Google Scholar]
  9. B. Karmakar, A. Chakraborty, and R. Basu, “Applying Statistical Process Control for Improving Quality in SMEs,” 2022. [Google Scholar]
  10. A. A. Magaji, A. Yahaya, and O. E. Asiribo, “Assessing the Effects of Autocorrelation on the Performance of Statistical Process Control Charts,” vol. 3, no. 6, pp. 15–23, 2015. [Google Scholar]
  11. A. Saadoon, “Seminar of control charts for attributes,” no. April, pp. 2–23, 2017. [Google Scholar]
  12. E. Simolowo, “The Development and Application of Statistical Process Control Software for Higher Productivity in,” no. February, 2021. [Google Scholar]
  13. G. Morse, “Statistical process control,” Trans. Inst. Met. Finish., vol. 71, no. pt 2, pp. 80–82, 1993. [CrossRef] [Google Scholar]
  14. M. Abelha, S. Fernandes, D. Mesquita, F. Seabra, and A. T. Ferreira-Oliveira, “Graduate employability and competence development in higher education-A systematic literature review using PRISMA,” Sustain., vol. 12, no. 15, 2020. [Google Scholar]
  15. J. Oláh, E. Krisán, A. Kiss, Z. Lakner, and J. Popp, “PRISMA statement for reporting literature searches in systematic reviews of the bioethanol sector,” Energies, vol. 13, no. 9, pp. 1–34, 2020. [Google Scholar]

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