Analysis of development status of dark factory and its intelligent manufacturing technologies

YI Zhengyao; ZHU Jiasheng; XU Dongxiao; YANG Tianci; YUAN Haoyu; CHEN Xiaoxiao

doi:10.12299/jsues.24-0333

Volume 40 Issue 2

Jun. 2026

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Article Navigation > Journal of Shanghai University of Engineering Science > 2026 > 40(2): 209-214

YI Zhengyao, ZHU Jiasheng, XU Dongxiao, YANG Tianci, YUAN Haoyu, CHEN Xiaoxiao. Analysis of development status of dark factory and its intelligent manufacturing technologies[J]. Journal of Shanghai University of Engineering Science, 2026, 40(2): 209-214. doi: 10.12299/jsues.24-0333

Citation:

YI Zhengyao, ZHU Jiasheng, XU Dongxiao, YANG Tianci, YUAN Haoyu, CHEN Xiaoxiao. Analysis of development status of dark factory and its intelligent manufacturing technologies[J]. Journal of Shanghai University of Engineering Science, 2026, 40(2): 209-214. doi: 10.12299/jsues.24-0333

Citation:

YI Zhengyao, ZHU Jiasheng, XU Dongxiao, YANG Tianci, YUAN Haoyu, CHEN Xiaoxiao. Analysis of development status of dark factory and its intelligent manufacturing technologies[J]. Journal of Shanghai University of Engineering Science, 2026, 40(2): 209-214. doi: 10.12299/jsues.24-0333

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Analysis of development status of dark factory and its intelligent manufacturing technologies

doi: 10.12299/jsues.24-0333

1a.
College of Navigation and Naval Architecture
1b.
School of Economics and Management, Dalian Ocean University, Dalian 116023, China
2.
COSCO Shipping Marine Equipment Spares (Nanjing) Co., Ltd., Nanjing 211121, China

Received Date: 2024-11-14
Available Online: 2026-08-19
Publish Date: 2026-06-30

Abstract

Abstract

As a key transformation direction of future manufacturing, the “dark factory” represents an advanced integration and concrete manifestation of intelligent manufacturing technologies in practical applications. A comprehensive analysis of the research dynamics and development trends of “dark factory” and its associated intelligent manufacturing technologies was conducted. Literature related to the “dark factory” from 1977 to 2024 was collected by retrieving the Web of Science (WOS) Core Collection database. A visualization analysis was conducted using CiteSpace software, encompassing multi-dimensional knowledge maps such as spatiotemporal distribution, keyword co-occurrence, and clustering of the retrieved publications. Through the analysis of key technologies in domestic “dark factory” cases, a construction roadmap for “dark factory” in the industrial field was summarized, and a systematic architecture was established. The applications of key technologies in “dark factory” construction were explored, including robotics, system integration, flexible and networked collaboration, as well as artificial intelligence and intelligent algorithms. The findings indicate that the successful implementation of these technologies in practice requires the coordinated advancement of process digitalization, lean management, standardized systems, and intelligent equipment. And finally, conclusions and future perspectives were presented.
- dark factory,
- intelligent factory,
- intelligent manufacturing,
- visual analysis

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References(32)

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