The Integration of Computer Engineering and Economic Sustainability Forecasting in Smart Manufacturing

Nan Wang; Chenchen Wang; Liangyu Li; Jiajun Jin; Tongzhou Chenhan

doi:10.2991/978-94-6463-548-5_11

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The Integration of Computer Engineering and Economic Sustainability Forecasting in Smart Manufacturing

Authors

Nan Wang¹, Chenchen Wang², Liangyu Li³^{, *}, Jiajun Jin⁴, Tongzhou Chenhan⁵

¹University of York, YO105DD, York, England

²University of Melbourne, 5010, Melbourne, VIC, Australia

³Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

⁴University of Maine at Presque Isle, 04769, Presque Isle, ME, United States

⁵Belarusian State University, 220030, Minsk, Belarus

^*Corresponding author. Email: liangyuli0823@gmail.com

Corresponding Author

Liangyu Li

Available Online 21 October 2024.

DOI: 10.2991/978-94-6463-548-5_11 How to use a DOI?
Keywords: Economic Sustainability; Economic Sustainability; Smart Manufacturing
Abstract: The imperative to reduce the manufacturing industry’s environmental footprint has become a critical global issue due to rising living standards, increased demand, and resource scarcity. Manufacturing, central to product supply and modern life, faces significant sustainability challenges. Existing manufacturing models, based on outdated paradigms, are insufficient and require thorough revision. The sector must innovate, leveraging technology, culture, and economics to develop sustainable practices, including the revision of sustainability assessment tools. These tools must address growing sustainability concerns and incorporate the triple bottom line—environmental, economic, and social factors. Concurrently, the concept of smart manufacturing is emerging, harnessing advancements in AI, Cloud Computing, and IoT to enhance production. However, the interaction between smart manufacturing and sustainability is not fully understood. This study aims to merge sustainable and smart manufacturing by evaluating current models and identifying future research opportunities in this integrated field.
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 3rd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2024)
Series: Advances in Economics, Business and Management Research
Publication Date: 21 October 2024
ISBN: 978-94-6463-548-5
ISSN: 2352-5428
DOI: 10.2991/978-94-6463-548-5_11 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Nan Wang
AU  - Chenchen Wang
AU  - Liangyu Li
AU  - Jiajun Jin
AU  - Tongzhou Chenhan
PY  - 2024
DA  - 2024/10/21
TI  - The Integration of Computer Engineering and Economic Sustainability Forecasting in Smart Manufacturing
BT  - Proceedings of the 2024 3rd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2024)
PB  - Atlantis Press
SP  - 83
EP  - 89
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-548-5_11
DO  - 10.2991/978-94-6463-548-5_11
ID  - Wang2024
ER  -

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