Lean Thinking and AI-Driven Smart Manufacturing Information Systems Design Method

The sustainable value creation through humancentric has become a new requirement for the sustainable and stable development of smart manufacturing systems (SMSs) in the industry 5.0 era. The widespread application of emerging technologies such as the Industrial Internet of Things (IIoTs), big data, cyber-physical systems (CPSs), and Artificial Intelligence (AI) 2.0 enables interconnected and autonomous operations of SMSs. However, existing design methods primarily focus on improving traditional business aspects, neglecting multi-stakeholder requirements and the redundancy of multi-source information in smart manufacturing information systems (SMISs). Therefore, this article proposes an AI $\mathbf{2. 0}$ and lean thinking driven information systems design framework to enhance the sustainable development of SMSs. We also propose the logic relationship and information flow of SMISs based on lean thinking, aiming to better optimize business process of SMSs. This article provides significant reference value for smart transformation and sustainable development design in the manufacturing industry.

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Published
2025-05-23
DOI
https://doi.org/10.1109/eeiss65394.2025.11085842
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00

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article

Lean Thinking and AI-Driven Smart Manufacturing Information Systems Design Method

Xianghua Chu, Yuanju Qu, Xianyu Zhang, Yongsheng Ma
Digital Transformation in Industry
article

Lean Thinking and AI-Driven Smart Manufacturing Information Systems Design Method

Xianghua Chu, Yuanju Qu, Xianyu Zhang, Yongsheng Ma
article en

Abstract

The sustainable value creation through humancentric has become a new requirement for the sustainable and stable development of smart manufacturing systems (SMSs) in the industry 5.0 era. The widespread application of emerging technologies such as the Industrial Internet of Things (IIoTs), big data, cyber-physical systems (CPSs), and Artificial Intelligence (AI) 2.0 enables interconnected and autonomous operations of SMSs. However, existing design methods primarily focus on improving traditional business aspects, neglecting multi-stakeholder requirements and the redundancy of multi-source information in smart manufacturing information systems (SMISs). Therefore, this article proposes an AI $\mathbf{2. 0}$ and lean thinking driven information systems design framework to enhance the sustainable development of SMSs. We also propose the logic relationship and information flow of SMISs based on lean thinking, aiming to better optimize business process of SMSs. This article provides significant reference value for smart transformation and sustainable development design in the manufacturing industry.

Shenzhen University (CN), Shanghai Jiao Tong University (CN), Southern University of Science and Technology (CN)
Natural Science Foundation of Guangdong Province
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Digital Transformation in Industry
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