Article Details

Abstract

To explore the current status and progress of research on production scheduling for additive manufacturing, this study takes the relevant literature published and included in the Web of Science (WOS) database from 2011 to 2023 as the research object. The Knowledge Graph is drawn by using CiteSpace software, and visual analysis is carried out on the amount of literature published, keyword co-occurrence and emergence, journal co-citation, main research force and so on. The results of bibliometrics show that although there is still room for improvement in the output volume of literature on additive manufacturing production scheduling in China, the overall academic achievements have a good influence. High-frequency keywords are concentrated in three aspects of optimization, design and algorithm. The keyword that still maintains a high emergent intensity as of 2023 is collaborative 3D printing. Finally, this paper future puts forward the development direction of additive manufacturing production scheduling research, hoping to provide a useful reference for subsequent research.

Keywords

additive manufacturing; production scheduling; Knowledge Graph; CiteSpace

References

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About the authors

Cao Lin (2000-), male, Han ethnicity, from Jingzhou, Hubei, is currently pursuing a master's degree in Information Management and Logistics Engineering.