The effectiveness of digital twin in reducing downtime in the manufacturing industry: A literature analysis

Authors

  • Pipiet Mutiara Tri. S Sekolah Tinggi Teknologi Nusantara Lampung, Indonesia
  • Faiq Nurraihan Sekolah Tinggi Teknologi Nusantara Lampung, Indonesia

DOI:

https://doi.org/10.35335/computational.v13i4.206

Keywords:

Digital Twin, Donwntime, Manufacturing Industry, Productivity

Abstract

The Digital Twin is an innovative technology that significantly enhances operational efficiency and production in the industrial sector. This research seeks to examine the role of Digital Twin in mitigating both scheduled and unscheduled downtime, along with the technical and non-technical elements that affect its implementation efficacy. Literature review revealed that Digital Twin facilitates real-time monitoring, precise data analysis, and enhanced process modelling, all of which aid in minimising downtime. Moreover, elements such as system integration, data quality, organisational culture, and managerial support are essential for the successful application of this technology. The research findings indicate that appropriate investment in technological infrastructure and the formulation of management strategies that foster innovation enable organisations to optimise the advantages of Digital Twin. Companies are advised to enhance employee engagement and cultivate a collaborative work environment to attain sustained competitive advantage in the context of Industry 4.0.

References

Alviansyah, M. N. (2021). Komunikasi Antar-Aplikasi: Sebuah Penerapan Model Awal (Purwarupa). Integr. J. Inf. Tech. Vocational. Educ., 3(1), 53–62. https://doi.org/10.17509/integrated.v3i1.64424

Anurahman, D. (2023). Systematic Literature Review of Electronic Zakat Payment. Oikonomika Jurnal Kajian Ekonomi Dan Keuangan Syariah, 4(1), 38–51. https://doi.org/10.53491/oikonomika.v4i1.654

Asarela, S. (2023). Analisis Pengukuran Kerja Menentukan Waktu Baku Menggunakan Metode Jam Henti Terhadap Operator Persiapan Komponen (Studi Kasus: PT XYZ). Jurnal Serambi Engineering, 8(3). https://doi.org/10.32672/jse.v8i3.6315

Baladraf, T. T. (2024). Potensi Penerapan Teknologi Digital Twin Pada Industri Pertanian Dan Pangan Di Indonesia: Sebuah Tinjauan Literatur. Jurnal Teknotan, 18(1), 21. https://doi.org/10.24198/jt.vol18n1.4

Chen, L., Xie, X., Lu, Q., Parlikad, A. K., Pitt, M., & Yang, J. (2021). Gemini Principles-Based Digital Twin Maturity Model for Asset Management. Sustainability, 13(15), 8224. https://doi.org/10.3390/su13158224

Cimino, C., Negri, E., & Fumagalli, L. (2019). Review of Digital Twin Applications in Manufacturing. Computers in Industry, 113, 103130. https://doi.org/10.1016/j.compind.2019.103130

Daniaty, D., Firmansyah, B., Ardiansyah, A., & Efendi, T. (2022). Analisis Bibliometrik Pada Penerapan Artificial Intelligence Di Smart Manufacturing. Seminar Nasional Official Statistics, 2022(1), 491–506. https://doi.org/10.34123/semnasoffstat.v2022i1.1120

Dewi, N. S., & Dasari, D. (2023). Systematic Literature Review: Kemampuan Pembuktian Matematis. Jurnal Cendekia Jurnal Pendidikan Matematika, 7(1), 240–254. https://doi.org/10.31004/cendekia.v7i1.1987

Ding, K., Chan, F. T. S., Zhang, X., Zhou, G., & Zhang, F. (2019). Defining a Digital Twin-Based Cyber-Physical Production System for Autonomous Manufacturing in Smart Shop Floors. International Journal of Production Research, 57(20), 6315–6334. https://doi.org/10.1080/00207543.2019.1566661

Erol, T., Mendı, A. F., & Doğan, D. (2020). Digital Transformation Revolution With Digital Twin Technology. https://doi.org/10.1109/ismsit50672.2020.9254288

Fadhilah, J. R., & Putri, N. E. (2021). Faktor-Faktor Yang Mempengaruhi Penggunaan Aplikasi Pegadaian Digital Service Di Pegadaian Cabang Tarandam Kota Padang. Jisip (Jurnal Ilmu Sosial Dan Pendidikan), 5(4). https://doi.org/10.58258/jisip.v5i4.2501

Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020). Digital Twin: Enabling Technologies, Challenges and Open Research. Ieee Access, 8, 108952–108971. https://doi.org/10.1109/access.2020.2998358

Gólcher-Barguil, L. A., Nadeem, S. P., & Garza‐Reyes, J. A. (2019). Measuring Operational Excellence: An Operational Excellence Profitability (OEP) Approach. Production Planning & Control, 30(8), 682–698. https://doi.org/10.1080/09537287.2019.1580784

Grieves, M. W. (2023). Digital Twin Certified: Employing Virtual Testing of Digital Twins in Manufacturing to Ensure Quality Products. Machines, 11(8), 808. https://doi.org/10.3390/machines11080808

Hasibuan, M. (2023). Analis User Experiece Dalam Aplikasi Soco by Sociolla Untuk Meningkatkan Pengalaman Pengguna Menggunakan Pendekatan Design Thinking. Dinamik, 28(2), 71–78. https://doi.org/10.35315/dinamik.v28i2.9390

Irfan, M., & Susilowati, I. H. (2021). Analisa Manajemen Risiko K3 Dalam Industri Manufaktur Di Indonesia: Literature Review. Prepotif Jurnal Kesehatan Masyarakat, 5(1), 335–343. https://doi.org/10.31004/prepotif.v5i1.1635

Jang, S., Chung, Y., & Son, H. (2022). Are Smart Manufacturing Systems Beneficial for All SMEs? Evidence From Korea. Management Decision, 60(6), 1719–1743. https://doi.org/10.1108/md-12-2020-1632

Judijanto, L. (2024). Pengaruh Implementasi Internet of Things Terhadap Pengambilan Keputusan Bisnis Pada Perusahaan Teknologi Di Jakarta. Jurnal Multidisiplin West Science, 3(03), 389–397. https://doi.org/10.58812/jmws.v3i03.1075

Khan, A. S., Dahl, M., Falkman, P., & Fabian, M. (2018). Digital Twin for Legacy Systems: Simulation Model Testing and Validation. 421–426. https://doi.org/10.1109/coase.2018.8560338

Kritzinger, W., Karner, M., Traar, G., Henjes, J., & Sihn, W. (2018). Digital Twin in Manufacturing: A Categorical Literature Review and Classification. Ifac-Papersonline, 51(11), 1016–1022. https://doi.org/10.1016/j.ifacol.2018.08.474

Kurniawan, F., Faizin, A. K., Lestari, W., Saputro, W., Edahwati, L., Issafira, R. D., Adyono, N., & Sari, T. P. (2022). Program Pelatihan Perancangan Desain Universal Joint Sederhana Menggunakan Solidworks Kepada Para Guru Di SMK Turen. Abdi-Mesin Jurnal Pengabdian Masyarakat Teknik Mesin, 2(1), 46–55. https://doi.org/10.33005/abdi-mesin.v2i1.31

Kusumawati, T. I. J., & Wulandari, W. (2016). PROTOTIPE SISTEM PERENCANAAN PRODUKSI PADA INDUSTRI MANUFAKTUR DENGAN PENDEKATAN E-SCM DAN SEMANTIC WEB, BERBASIS CODE IGNITER DAN RESPONSIVE DESIGN : STUDI KASUS PT.ARGO PANTES, TBK. Jurnal Ilmiah Teknologi Infomasi Terapan, 2(2). https://doi.org/10.33197/jitter.vol2.iss2.2016.101

Liu, Q., Zhang, H., Leng, J., & Chen, X. (2018). Digital Twin-Driven Rapid Individualised Designing of Automated Flow-Shop Manufacturing System. International Journal of Production Research, 57(12), 3903–3919. https://doi.org/10.1080/00207543.2018.1471243

Livia, C. Y., & Oktiarso, T. (2017). Penjadwalan Untuk Memininimalkan Total Tardiness Dengan Metode Integer Linear Programming. Jurnal Teknik Industri, 18(2), 127–137. https://doi.org/10.22219/jtiumm.vol18.no2.127-137

Machado, C. G., Winroth, M., & Silva, E. R. d. (2019). Sustainable Manufacturing in Industry 4.0: An Emerging Research Agenda. International Journal of Production Research, 58(5), 1462–1484. https://doi.org/10.1080/00207543.2019.1652777

Mitropoulos, L., Kortsari, A., & Aifadopoulou, G. (2021). A Systematic Literature Review of Ride-Sharing Platforms, User Factors and Barriers. European Transport Research Review, 13(1). https://doi.org/10.1186/s12544-021-00522-1

Nashrulloh, M. R. (2021). Fleksibilitas Infrastruktur Smart Cloud Dalam Kinerja Sistem Informasi Manufaktur Berorientasi Layanan Berbasis Big Data. Integr. J. Inf. Tech. Vocational. Educ., 3(2), 85–94. https://doi.org/10.17509/integrated.v3i2.64619

Ng, T. C., Lau, S. Y., Ghobakhloo, M., Fathi, M., & Liang, M. S. (2022). The Application of Industry 4.0 Technological Constituents for Sustainable Manufacturing: A Content-Centric Review. Sustainability, 14(7), 4327. https://doi.org/10.3390/su14074327

Nojeng, A. (2023). PKM Pengembangan Literasi Digital: Membuat Cerita Rakyat Komik Digital Pada Kabupaten Majene. J. Pengabdi. Masy., 1(3), 213–221. https://doi.org/10.61255/vokatekjpm.v1i3.192

Park, J.-H., Choi, E.-Y., & Choi, Y. (2021). Real-World Failure Prevention Framework for Manufacturing Facilities Using Text Data. Processes, 9(4), 676. https://doi.org/10.3390/pr9040676

Pronost, G., Mayer, F., Camargo, M., & Dupont, L. (2023). Digital Twins Along the Product Lifecycle: A Systematic Literature Review of Applications in Manufacturing. Digital Twin, 3, 3. https://doi.org/10.12688/digitaltwin.17807.1

Qi, Q., Tao, F., Zuo, Y., & Zhao, D. (2018). Digital Twin Service Towards Smart Manufacturing. Procedia Cirp, 72, 237–242. https://doi.org/10.1016/j.procir.2018.03.103

Qian, C., Liu, X., Ripley, C., Qian, M., Fan, L., & Yu, W. (2022). Digital Twin—Cyber Replica of Physical Things: Architecture, Applications and Future Research Directions. Future Internet, 14(2), 64. https://doi.org/10.3390/fi14020064

Rohmansyah, R., & Putra, K. T. (2023). Strategi Peningkatan Keilmuan Keislaman Pada Masyarakat Melalui Pelatihan Aplikasi Digital Quran. Jipemas Jurnal Inovasi Hasil Pengabdian Masyarakat, 6(2), 309–319. https://doi.org/10.33474/jipemas.v6i2.19549

Satpathy, R. B., & Gavaskar, S. (2021). Utilisation of Digital Twin in Representation of a Physical Object, Process, or Service. Technoarete Transactions on Internet of Things and Cloud Computing Research, 1–5. https://doi.org/10.36647/0805011iotccr

Schleich, B., Anwer, N., Mathieu, L., & Wartzack, S. (2017). Shaping the Digital Twin for Design and Production Engineering. Cirp Annals, 66(1), 141–144. https://doi.org/10.1016/j.cirp.2017.04.040

Semnasti, A. H. (2023). Analisis Perbandingan Praktik Green Supply Chain Management Dalam Industri Manufaktur. Waluyo Jatmiko Proceeding, 171–180. https://doi.org/10.33005/wj.v16i1.19

Sitanggang, A. S., Syafariani, R. F., Sari, F. W., & Wartika, W. (2022). Perancangan Aplikasi DOCU (Dongkrak Cuan) Sebagai Strategi IT Dan Digital Marketing Untuk Membantu Perusahaan Dan UMKM. Jurnal Teknologi Dan Informasi, 12(2), 191–205. https://doi.org/10.34010/jati.v12i2.8542

Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2017). Digital Twin-Driven Product Design, Manufacturing and Service With Big Data. The International Journal of Advanced Manufacturing Technology, 94(9–12), 3563–3576. https://doi.org/10.1007/s00170-017-0233-1

Wijaya, S., Sudrajat, H. A., & Arya, R. (2021). Perancangan Aplikasi Terintegrasi Perangkat Internet of Things (IoT) Untuk Pencetakan Label Otomatis. Jurnal Ict Information Communication & Technology, 20(2), 394–399. https://doi.org/10.36054/jict-ikmi.v20i2.385

Zheng, Y., & Luo, M. (2023). Enhancing Operating Efficiency in China’s High-End Equipment Manufacturing Industry: Insights From Listed Enterprises. Sustainability, 15(11), 8694. https://doi.org/10.3390/su15118694

Downloads

Published

2025-02-28

How to Cite

S, P. M. T., & Nurraihan, F. (2025). The effectiveness of digital twin in reducing downtime in the manufacturing industry: A literature analysis. International Journal of Mechanical Computational and Manufacturing Research, 13(4), 113–121. https://doi.org/10.35335/computational.v13i4.206

Issue

Vol. 13 No. 4 (2025): February: Mechanical Computational And Manufacturing Research

Section

Articles

License

Copyright (c) 2025 Pipiet Mutiara Tri. S, Faiq Nurraihan

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.