Open Access
Issue
E3S Web of Conf.
Volume 465, 2023
8th International Conference on Industrial, Mechanical, Electrical and Chemical Engineering (ICIMECE 2023)
Article Number 02016
Number of page(s) 9
Section Symposium on Electrical, Information Technology, and Industrial Engineering
DOI https://doi.org/10.1051/e3sconf/202346502016
Published online 18 December 2023
  1. S. Widi, “https://dataindonesia.id/sektor-riil/detail/penjualan-mobildomestik-tembus-1-juta-unit-sepanjang-2022,” DataIndonesia.id, Jan. 12, 2023. [Google Scholar]
  2. R. Mustajab, “https://dataindonesia.id/sektor-riil/detail/penjualanmotor-di-indonesia-capai-52-juta-unit-sepanjang-2022,” DataIndonesia.id, Jan. 12, 2023. [Google Scholar]
  3. A. Adeodu, R. Maladzhi, M. G. Kana-Kana Katumba, and I. Daniyan, “Development of an improvement framework for warehouse processes using lean six sigma (DMAIC) approach. A case of third party logistics (3PL) services,” Heliyon, vol. 9, no. 4, p. e14915, Apr. 2023, doi: 10.1016/j.heliyon.2023.e14915. [CrossRef] [PubMed] [Google Scholar]
  4. I. Daniyan, A. Adeodu, K. Mpofu, R. Maladzhi, and M. G. KanaKana Katumba, “Application of lean Six Sigma methodology using DMAIC approach for the improvement of bogie assembly process in the railcar industry,” Heliyon, vol. 8, no. 3, Mar. 2022, doi: 10.1016/j.heliyon.2022.e09043. [CrossRef] [PubMed] [Google Scholar]
  5. H. G. Nguyen, M. Kuhn, and J. Franke, “Manufacturing automation for automotive wiring harnesses,” in Procedia CIRP, Elsevier B.V., 2020, pp. 379–384. doi: 10.1016/j.procir.2020.05.254. [Google Scholar]
  6. C. B. Senthilkumar and S. Nallusamy, “Enrichment of quality rate and output level in a medium scale manufacturing industry by implementation of appropriate quality tools,” in Materials Today: Proceedings, 2020, pp. 817–822. doi: 10.1016/j.matpr.2020.05.832. [Google Scholar]
  7. S. Zolfaghari, S. B. M. Noor, M. R. Mehrjou, M. H. Marhaban, and N. Mariun, “Broken Rotor Bar Fault detection and classification using wavelet packet signature analysis based on Fourier transform and multi-layer perceptron neural network,” Applied Sciences (Switzerland), vol. 8, no. 1, Dec. 2017, doi: 10.3390/app8010025. [Google Scholar]
  8. J. D. Morales Méndez and R. S. Rodriguez, “Total productive maintenance (TPM) as a tool for improving productivity: a case study of application in the bottleneck of an auto-parts machining line,” International Journal of Advanced Manufacturing Technology, vol. 92, no. 1–4, pp. 1013–1026, Sep. 2017, doi: 10.1007/s00170-017-0052-4. [CrossRef] [Google Scholar]
  9. L. M. Dawood and Z. H. Abdullah, “Study Impact of Overall Equipment and Resource Effectiveness onto Cement Industry.” Journal of University of Babylon, Engineering Sciences, vol. 26, no. 3, 2018. [CrossRef] [Google Scholar]
  10. O. Bataineh, T. Al-Hawari, H. Alshraideh, and D. Dalalah, “A sequential TPM-based scheme for improving production effectiveness presented with a case study,” J Qual Maint Eng, vol. 25, no. 1, pp. 144–161, Mar. 2019, doi: 10.1108/JQME-07-2017-0045. [CrossRef] [Google Scholar]
  11. F. Elvis Tiarso, M. Choiri, and I. Hamdala, “Waste Reduction Efforts in Prespinning Section with Lean Manufacturing Approach (Case Study in PT XYZ).” Jurnal Rekayasa Dan Manajemen Sistem Industri, vol. 3, no. 1, 2015. [Google Scholar]
  12. M. M. Rounaghi, H. Jarrar, and L.-P. Dana, “Implementation of strategic cost management in manufacturing companies: overcoming costs stickiness and increasing corporate sustainability,” Future Business Journal, vol. 7, no. 1, Dec. 2021, doi: 10.1186/s43093-021-00079-4. [CrossRef] [Google Scholar]
  13. G. L. Tortorella, F. S. Fogliatto, P. A. Cauchick-Miguel, S. Kurnia, and D. Jurburg, “Integration of Industry 4.0 technologies into Total Productive Maintenance practices,” Int J Prod Econ, vol. 240, Oct. 2021, doi: 10.1016/j.ijpe.2021.108224. [CrossRef] [Google Scholar]
  14. G. Pinto, F. J. G. Silva, A. Baptista, N. O. Fernandes, R. Casais, and C. Carvalho, “TPM implementation and maintenance strategic plan - A case study,” in Procedia Manufacturing, Elsevier B.V., 2020, pp. 1423–1430. doi: 10.1016/j.promfg.2020.10.198. [Google Scholar]

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