Advances in Economics, Management and Political Sciences

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Proceedings of the 7th International Conference on Economic Management and Green Development

Series Vol. 33 , 10 November 2023


Open Access | Article

Supply Chain Resilience and Flexibility Through Digitalization: Robotic Process Automation, Artificial Intelligence, and Blockchain

Chen Bai * 1
1 University College Dublin

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 33, 142-145
Published 10 November 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Chen Bai. Supply Chain Resilience and Flexibility Through Digitalization: Robotic Process Automation, Artificial Intelligence, and Blockchain. AEMPS (2023) Vol. 33: 142-145. DOI: 10.54254/2754-1169/33/20231639.

Abstract

With the advent of the Industry 4.0 era and the emergence of new devices and technologies, many corporate supply chains are finding the right path to adapt to the Industry 4.0 environment. In this paper, an analysis of current research reveals that we still need to address how to make the right changes to corporate supply chains under the influence of Industry 4.0. This paper will consider its practical model. Based on this analysis, this paper uses a case study approach to examine how supply chains have evolved in recent years. The main objectives of this paper are to introduce the technologies associated with Industry 4.0; to analyze the changes in corporate supply chains because of Industry 4.0; to explore the prospects for supply chain development; to analyze ways corporate management can be improved; and to make relevant recommendations.

Keywords

supply chain, RPA, AI, blockchain

References

1. Kumar, M., Vaishya, R.: Real-time monitoring system to lean manufacturing. Procedia Manufacturing 20, 135-140 (2018).

2. Ozdemir, D., Sharma, M., Dhir, A., Daim, T.: Supply chain resilience during the COVID-19 pandemic. Technology in Society 68, 101847 (2022).

3. Sousa, M. J., Wilks, D.: Sustainable skills for the world of work in the digital age. Systems Research and Behavioral Science 35(4), 399-405 (2018).

4. Butollo, F.: Digitalization and the geographies of production: Towards reshoring or global fragmentation? Competition & Change 25(2), 259-278 (2021).

5. Deepu, T. S., Ravi, V.: Supply chain digitalization: An integrated MCDM approach for inter-organizational information systems selection in an electronic supply chain. International Journal of Information Management Data Insights 1(2), 100038 (2021).

6. Daniels, J., Sargolzaei, S., Sargolzaei, A., Ahram, T., Laplante, P. A., Amaba, B.: The internet of things, artificial intelligence, blockchain, and professionalism. IT Professional 20(6), 15-19 (2018).

7. Mendling, J., Decker, G., Hull, R., Reijers, H. A., Weber, I.: How do machine learning, robotic process automation, and blockchains affect the human factor in business process management?. Communications of the Association for Information Systems 43(1), 19 (2018).

8. Saberi, S., Kouhizadeh, M., Sarkis, J., Shen, L.: Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research 57(7), 2117-2135 (2019).

9. Aryal, A., Liao, Y., Nattuthurai, P., Li, B.: The emerging big data analytics and IoT in supply chain management: a systematic review. Supply Chain Management: An International Journal 25(2), 141-156 (2020).

10. Sanders, N. R., Boone, T., Ganeshan, R., Wood, J. D.: Sustainable supply chains in the age of AI and digitization: research challenges and opportunities. Journal of Business logistics 40(3), 229-240 (2019).

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 7th International Conference on Economic Management and Green Development
ISBN (Print)
978-1-83558-087-5
ISBN (Online)
978-1-83558-088-2
Published Date
10 November 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/33/20231639
Copyright
10 November 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated