Application of Information and Technology in Supply Chain Management: Case Study of Artificial Intelligence – A Mini Review



Abstract Views
2115

Downloads
1512

Citations

Share

##plugins.themes.bootstrap3.article.sidebar##

Submitted Nov 26, 2020
Published Dec 5, 2020
10.24018/ejeng.2020.5.12.2254

Abstract viewed = 2115 times

Table of Contents

##plugins.themes.bootstrap3.article.main##

It is wide known that the world has been moving towards a digital future over the years, and Industry 4.0 technologies are considered to be the way of the future. One of the most prominent of these technologies (including Block Chain, Internet of Things, Cloud Computing, Big Data, etc.) is Artificial Intelligence (AI), was introduced to develop and create “thinking machines” that are capable of mimicking, learning, and replacing human intelligence. However, its widespread acceptance as a decision-aid tool, AI has seen limited application in supply chain management (SCM). The purpose of this work is to identify the contributions of AI to SCM through a brief review of the existing literature. Besides, this paper reviews the past record of success in AI applications to SCM and identifies the most subfields of SCM in which to apply AI.

Keywords: Artificial Intelligence, Supply Chain Management, Literature Review, Overview

Downloads

Download data is not yet available.

References

  1. Lezoche, M., Hernandez, J. E., Díaz, M. D. M. E. A., Panetto, H., & Kacprzyk, J. (2020). Agri-food 4.0: a survey of the supply chains and technologies for the future agriculture. Computers in Industry, 117, 103187.
     Google Scholar
  2. Rodríguez, M. Á., Alemany, M. M. E., Boza, A., Cuenca, L., & Ortiz, Á. (2020, November). Artificial Intelligence in Supply Chain Operations Planning: Collaboration and Digital Perspectives. In Working Conference on Virtual Enterprises (pp. 365-378). Springer, Cham.
     Google Scholar
  3. Hellingrath, B., & Lechtenberg, S. (2019). Applications of Artificial Intelligence in Supply Chain Management and Logistics: Focusing Onto Recognition for Supply Chain Execution. In The Art of Structuring (pp. 283-296). Springer, Cham.
     Google Scholar
  4. Krichen, S., & Jouida, S. B. (2015). Supply Chain Management and Its Applications in Computer Science. John Wiley & Sons.
     Google Scholar
  5. Jacobs, R., & Chase, R. (2018). Operations and Supply Chain Management. 15th edition. The McGraw-Hill Education. ISBN: 978-1-259-66610-0.
     Google Scholar
  6. Pasonen, P. (2020). The Use of Artificial Intelligence in the Supply Chain Management in Finnish Large Enterprises.
     Google Scholar
  7. Chui, M. (2017). Artificial intelligence the next digital frontier?. McKinsey and Company Global Institute, 47, 3-6.
     Google Scholar
  8. Dash, R., McMurtrey, M., Rebman, C., & Kar, U. K. (2019). Application of Artificial Intelligence in Automation of Supply Chain Management. Journal of Strategic Innovation and Sustainability, 14(3).
     Google Scholar
  9. Marr, B. (2019). Artificial intelligence in practice: how 50 successful companies used AI and machine learning to solve problems. John Wiley & Sons.
     Google Scholar
  10. Min, H. (2010). Artificial intelligence in supply chain management: theory and applications. International Journal of Logistics: Research and Applications, 13(1), 13-39.
     Google Scholar
  11. Weber, F. D., & Schütte, R. (2019). State-of-the-art and adoption of artificial intelligence in retailing. Digital Policy, Regulation and Governance.
     Google Scholar
  12. Mannes, A. (2020). Governance, Risk, and Artificial Intelligence. Mannes, A. (2020). Governance, Risk, and Artificial Intelligence. AI Magazine, 41(1), 61-69.
     Google Scholar
  13. Monahan, S. & Hu, M. (2018). A.I. and the path to breakthrough supply chain planning: Just as electricity transformed every industry 100 years ago, Artificial Intelligence (A.I.) is poised to transform every industry in the coming decade. Supply Chain Management Review, 22(1), p. 48.
     Google Scholar