增材制造生产调度研究现状与发展趋势分析——基于CiteSpace知识图谱分析  

Analysis of the Current Status and Development Trend of Additive Manufacturing Production Scheduling Research-Knowledge Graph Analysis Based on CiteSpace

作　　者：曹霖 CAO Lin(School of Management Science and Engineering,University of Ji'nan,Ji'nan 250002,China)

机构地区：[1]济南大学管理科学与工程学院,山东济南250002

出　　处：《现代信息科技》2025年第2期176-179,184,共5页Modern Information Technology

摘　　要：为探讨增材制造生产调度研究的现状和进展,该研究以2011—2023年间发表并收录于Web of Science(WOS)数据库的相关文献为对象。利用CiteSpace软件绘制知识图谱,并对文献的发文量、关键词共现与突现、期刊共被引、主要研究力量等进行可视化分析。文献计量结果显示,尽管我国在增材制造生产调度上的文献产出量还有提升空间,但整体学术成果具有不错的影响力。高频关键词集中在优化、设计和算法三个方面。截至2023年,仍然保持高突现强度的关键词是协同3D打印。最后,提出了增材制造生产调度研究的未来发展方向,希望为后续研究提供有益参考。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.

关 键 词：增材制造 生产调度 知识图谱 CITESPACE 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TH166[自动化与计算机技术—计算机科学与技术]