ABSTRACT
Potable drinking water quality is a major concern, particularly as it is used for human consumption. Quality is a competitive weapon. It increases customer base, high profit margin and prevents business closure. The aim of this research is to evaluate the current performance of the water production process stability and capability for enhanced continuous improvement using a specific set of tools from the Lean Six Sigma (LSS) methodology. This research was carried on the mean weekly laboratory results of some of the physicochemical water parameters (pH, conductivity, turbidity, total hardness, total alkalinity, chloride, Total Dissolved solids (TDS), nitrates, sulphate, calcium, magnesium, iron, lead, copper and zinc) conducted for official regulatory purpose by the Quality Control Department of the Niger Delta University (NDU) Table Water Factory for 50 weeks, January to December, 2020. The data obtained were analyzed using descriptive statistics and control charts with the use of Minitab 2021 ® Statistical software package. Control chart was applied in the analysis of water quality in this water factory, as it provides a clear pictorial view about the variability in the production line with respect to the parameters under review. The values of the water quality parameters were found to be within the limits permitted by Standard Organization of Nigerian and World Health Organization standards for portable drinking water (exception of the minimum value of the pH obtained, 6.01, is less than the minimum standard value of 6.5 and the maximum value of Lead, 0.04, greater than the maximum permitted value of 0.01). The values of the parameters (except iron) in the control charts were beyond the conventional limits (upper and lower limits) at various points in time (week) throughout the period, hence, failed the test and indicated process variability due to assignable causes.. The results of the present research showed that, the water production process is not stable and capable due to occurrence of special causes of variability in the production line for all the parameters. Since meeting specification limits is not sufficient to ensure good quality characteristics, the need for investigations to correct and control the variability of the process, hence, allowing improvement in the production line is, therefore, recommended
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