• She has participated in the XIII R Users’ Conference in Galicia.

A Coruña, April 23^rd, 2026

Researcher at the UDC’s CITIC, Erika Francesch Domenech recentñy took part in the XIII R Users’ Conference in Galicia, where she presented her paper entitled “Análise bibliométrica do uso de métodos estatísticos e análise de datos na industria cervexeira” (“Bibliometric analysis of the use of statistical methods and data analysis in the brewing industry”).

Erika Francesch Domenech is currently working on her industrial thesis in collaboration with Hijos de Rivera, under the supervision of Salvador Naya and Javier Tarrío at the CITIC of the Universidade da Coruña and mentored by Ana Fernández Calviño on behalf of Hijos de Rivera.

During her presentation, the researcher addressed the growing digital transformation of the brewing industry in the context of Industry 4.0, a process that has significantly increased the availability of data and the possibilities for applying advanced techniques of analysis and quality control.

The study presented is based on a bibliometric review of 5,691 publications indexed in Web of Science between 1936 and 2025. Tools from the R ecosystem were used for the analysis, specifically the Bibliometrix package via the Biblioshiny interface.

The results show sustained growth in scientific output since the early 2000s, closely linked to advances in sensor technology and industrial automation. However, the study notes that the systematic adoption of statistical process control remains limited in the sector.

Furthermore, a greater volume of research is observed in the wine industry compared to the brewing industry, although five main lines of study specific to the latter are identified. As part of the work, a case study was presented based on multivariate models and machine learning algorithms for predicting the quality of beer fermentation using synthetic data.

Among the main conclusions, the existence of a gap between the large amount of data available in industrial settings and the effective use of advanced statistical tools is highlighted. In this regard, the integration of multi-variant SPC techniques alongside machine learning models is proposed as a means of improving control and decision-making processes in the brewing industry.

Participation in this event, organised by the R Users Galicia community, reinforces the role of applied research in knowledge transfer between the academic sphere and the industrial sector.