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

Nan Wang, Chenchen Wang, Liangyu Li (), Jiajun Jin and Tongzhou Chenhan
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Nan Wang: University of York
Chenchen Wang: University of Melbourne
Liangyu Li: Universiti Kebangsaan Malaysia
Jiajun Jin: University of Maine at Presque Isle
Tongzhou Chenhan: Belarusian State University

A chapter in Proceedings of the 2024 3rd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2024), 2024, pp 83-89 from Springer

Abstract: 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 Existing manufacturing models, based on outdated paradigms, are insufficient and require thorough revision.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.

Keywords: Economic Sustainability; Economic Sustainability; Smart Manufacturing (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-548-5_11

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

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