Bibliometric-based visual knowledge graph analysis of facility layout problems

Chuan Wang; Zhenlin Lu

doi:10.1117/12.2640452

15 July 2022 Bibliometric-based visual knowledge graph analysis of facility layout problems

Chuan Wang, Zhenlin Lu

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122580N (2022) https://doi.org/10.1117/12.2640452
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

The quality of facility layout is related to the operational efficiency of the entire system. Based on bibliometric methods, 859 related papers on the theme of facility layout included in the Web of Science core dataset from 2002 to 2021 were analyzed. First, through the visualization tools of Web of Science, the issue of facility layout is analyzed from the annual publication volume, journals and research directions. Next, based on the Citespace software, the cooperation and citation relationships among countries, institutions, and authors are analyzed from the macro, meso, and micro levels, and the cooccurrence analysis of keywords and nominal terms is carried out to generate a visual knowledge map, and to solve the problem of facility layout. The research status, hotspots and trends are reviewed. The results show that the problem of facility layout has been a hot research area. However, there are many and scattered situations in China's facility layout research, and it is necessary to strengthen cooperation. In addition, there are few studies in the fields of digital facility layout, smart factory, and digital twin, which need to be focused on.

Citation Download Citation

Chuan Wang and Zhenlin Lu "Bibliometric-based visual knowledge graph analysis of facility layout problems", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122580N (15 July 2022); https://doi.org/10.1117/12.2640452

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