Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024)

Intelligent Supply Chain Management: An Industrial Engineering Approach

Authors
Zhe Cheng1, *
1The University of Warwick, West Midlands, England
*Corresponding author. Email: 2482516799@qq.com
Corresponding Author
Zhe Cheng
Available Online 23 July 2024.
DOI
10.2991/978-94-6463-459-4_9How to use a DOI?
Keywords
Intelligent Supply Chain; Industrial Engineering; Artificial Intelligence; Internet of Things; Big Data Analytics; Logistics; Inventory Management; Demand Forecasting; Supplier Relationship Management
Abstract

The intelligent supply chain stands as a testament to the transformative power of technological convergence in industrial engineering. It embodies a shift towards a more efficient, responsive, and sustainable industrial ecosystem, facilitated by the strategic application of Artificial Intelligence (AI), the Internet of Things (IoT), and big data analytics. This paper has delved into how these advanced technologies are being harnessed to revolutionize supply chain management, endowing it with capabilities that were once considered futuristic. The interplay of AI with logistics optimizes the entire supply chain flow, making predictive analytics a reality, thus significantly reducing downtime and enhancing customer satisfaction through more reliable delivery systems. IoT’s role in inventory management has moved beyond mere tracking to provide a rich matrix of data that empowers businesses to predict and react swiftly to market changes. Big data analytics transcends traditional demand forecasting by leveraging vast arrays of information to inform more nuanced and strategically aligned production planning. The paper further explores how intelligent supply chains are not confined to technological prowess alone but are also redefining supplier relationships, underlining the importance of digital collaboration platforms that foster a more cohesive and transparent supply network. Through risk management strategies informed by real-time data, supply chains are becoming more resilient to external shocks, while sustainability initiatives within these smart networks underscore the commitment to environmental responsibility. As the discussion in this paper has shown, the integration of these technologies has catalyzed a renaissance in industrial engineering, where intelligent supply chains are becoming the engines of value creation, waste reduction, and competitive differentiation. In conclusion, this paper posits that the adoption of intelligent supply chain practices is not merely an option but a categorical imperative for businesses aiming to thrive in an increasingly complex and volatile marketplace. It is these intelligent systems that will define the winners in the industrial arena of tomorrow, those who can adapt, predict, and efficiently meet the demands of a rapidly changing world.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
23 July 2024
ISBN
978-94-6463-459-4
ISSN
2352-5428
DOI
10.2991/978-94-6463-459-4_9How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Zhe Cheng
PY  - 2024
DA  - 2024/07/23
TI  - Intelligent Supply Chain Management: An Industrial Engineering Approach
BT  - Proceedings of the 2024 9th International Conference on Social Sciences and Economic Development (ICSSED 2024)
PB  - Atlantis Press
SP  - 69
EP  - 76
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-459-4_9
DO  - 10.2991/978-94-6463-459-4_9
ID  - Cheng2024
ER  -