Processes and Strategies for Digital Transformation in Manufacturing Industry

Authors

  • Yimiao Lv
  • Haibin Peng
  • Huifang Li
  • Wenhao Li

DOI:

https://doi.org/10.54097/ijeh.v11i3.15166

Keywords:

Digital technology, Supply chains, Manufacturing.

Abstract

The manufacturing supply chain has undergone an on-going transformation using revolutionary digital technologies that have profoundly changed manufacturing processes and operation ways. It is necessary to conduct digital technologies to enhance production performance. The present study analysis related digital technologies in manufacturing sector and proposes a framework under the fourth industrial revolution background, explores the benefits and challenges of digitalization. In addition, this paper establishes a manufacturing system with the applications of big data, 5G, AI in manufacturing processes. The product data can be collected and stored in the nodes of supply chain. The traceability results show the digitalization has great impacts to the manufacturing systems.

Downloads

Download data is not yet available.

References

Kang, H. S., Lee, J. Y., Choi, S., Kim, H., Park, J. H., Son, J. Y., et al.(2016). Smart manufacturing: Past research, present findings, and future directions. International Journal of Precision Engineering and Manufacturing - Green Technology, 3(1), 111–128.

Yao, L., & Sarin, S. C. (2014). Multiple-lot lot streaming in a two-stage assembly system. In P. S. Pulat, S. C. Sarin, & R. Uzsoy (Eds.),Essays in production, project planning and scheduling, International Series in Operations Research & Management Science 200(p. 357–388). New York: Springer.

Aqlan,Faisal,and Sarah S.Lam.2016.Supply chain optimization under risk and uncertainty: A case study for high-end server manufacturing. Computers & Industrial Engineering 93: 78–87.

Gausdal,A.H.,Czachorowski,K.V.,Solesvik,M.Z., 2018. Applying blockchain technology: evidence from Norwegian companies. Sustainability 10 (6), 1–16.

Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829–846.

Vinodh, S., Wankhede, V.A., 2021. Application of fuzzy DEMATEL and fuzzy CODAS for analysis of workforce attributes pertaining to Industry 4.0: a case study. Int. J. Qual. Reliab. Manag. 38 (8), 1695–1721.

Sabri-Laghaie, K., Jafarzadeh Ghoushchi, S., Elhambakhsh, F., Mardani, A.,2020. Monitoring blockchain cryptocurrency transactions to improve the trustworthiness of the fourth industrial revolution (Industry 4.0). Algorithms 13 (12), 312.

Lu, H.-P., &Weng,C.-I.(2018). Smart manufacturing technology, market maturity analysis and technology roadmap in the computer and electronic product manufacturing industry. Technological Forecasting and Social Change, 133(1), 85-94.

Downloads

Published

14 December 2023

Issue

Section

Articles

How to Cite

Lv, Y., Peng, H., Li, H., & Li, W. (2023). Processes and Strategies for Digital Transformation in Manufacturing Industry. International Journal of Education and Humanities, 11(3), 536-539. https://doi.org/10.54097/ijeh.v11i3.15166