Departament de Ingeniería Industrial, Instituto Tecnológico de Orizaba (TecNM), Orizaba, Veracruz, México.
World Journal of Advanced Engineering Technology and Sciences, 2026, 19(03), 209-213
Article DOI: 10.30574/wjaets.2026.19.3.0325
Received on 25 April 2026; revised on 15 June 2026; accepted on 17 June 2026
Industrial water efficiency is a critical component of sustainable manufacturing, particularly in water-intensive sectors such as beverage production. This study analyzes longitudinal water consumption patterns in a brewery plant between 2022 and 2024, using validated daily operational records disaggregated by process. Descriptive statistics, interannual comparisons, and inferential tests were applied to identify structural trends and critical consumption nodes. Results show that two processes consistently accounted for more than 70% of total water use, confirming structural concentration. Consumption increased significantly in 2023 (+24.8%), followed by a reduction in 2024 (−8.1%), coinciding with the implementation of an operational efficiency intervention. The packaging process exhibited the largest decrease (−23.9%), supported by statistically significant differences (p < 0.01). Variability indicators revealed improved operational stability after intervention. Findings demonstrate that process-level monitoring enables precise identification of inefficiencies and supports targeted strategies for resource optimization. This study contributes empirical evidence to industrial water management literature by providing high-resolution longitudinal data from a real production environment and highlighting the value of process-based analysis for sustainability decision-making.
Industrial Water Use; Process Efficiency; Longitudinal Analysis; Brewery Industry; Sustainability
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Ana Karen Córdoba Schettino, Samantha San Basilio Guillén, Xavier Contreras Calvario, Samantha Conde Sanchez, Carlos Navarrete Enriquez and Salvador Nava Rodríguez. Longitudinal analysis of industrial water consumption by process: Empirical evidence from a brewery case study (2022–2024). World Journal of Advanced Engineering Technology and Sciences, 2026, 19(03), 209-213. Article DOI: https://doi.org/10.30574/wjaets.2026.19.3.0325