Statistical process control charts for the analysis of water consumption: a case study at a university
DOI:
https://doi.org/10.46421/entac.v20i1.6196Keywords:
Monitoring, Water consumption, Statistical process control, Graphical analysis, Consumption patternAbstract
This study analyzes water consumption at Universidade do Estado de Santa Catarina (UDESC – CCT) located in southern Brazil using Statistical Process Control Charts. This article examines the monthly variations in water consumption over 53 months (2017-2022), including the period of the COVID-19 pandemic. The study was conducted at a Public Higher Education Institution, utilizing Shewhart, Exponentially Weighted Moving Average (EWMA), and Cumulative Sum (CUSUM) charts. These charts provide insights into changes in consumption, notably influenced by the COVID-19 pandemic. The study is divided into two phases: Phase 1 establishes reference lines to guide the analysis, while Phase 2 evaluates all data points in relation to these benchmarks. Normality tests on the reference data were used to validate Phase 1. A gradual decrease in water consumption during the lockdown months corresponds to reduced campus traffic. Control charts can be easily integrated into digitized water consumption measurement systems due to their simplicity of programming and interpretation.
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