Abstract
The use of statistical quality control in the production and storage processes significantly enhances the overall quality of products. Although various techniques are used for quality monitoring purposes, control charts are considered of paramount importance. In this paper, the ash and moisture contents of the wheat flour type 500 were analyzed using descriptive statistics. Consequently, the control charts for the variations in and the mean values of the parameters considered were created. The control charts obtained for the mean parameter values show that the flour production process was in control relative to both parameters considered, exhibiting only random variations. However, the control charts obtained for the variability in the parameter values considered show special variations, the causes of which require further research in order to maintain the satisfactory quality of flour production.
Highlights
The finalization of agricultural production requires adequate quality control, implemented to the greatest extent possible (Đevic and Dimitrijevic, 2005)
A number of different types of diagrams serve as the basic tools for statistical quality control: control charts, the Pareto diagrams, histograms, scatter diagrams and the Ishikawa diagrams (Hadživuković, 1989)
All the control points are within the control limits, a variability increase in this parameter value was recorded in the sample 18. Such occurrence should be further examined, as well as the quality of raw material used in the flour production considered
Summary
The finalization of agricultural production requires adequate quality control, implemented to the greatest extent possible (Đevic and Dimitrijevic, 2005). The application of statistical methods, with precisely and clearly defined parameters, provides the basis for consistent implementation of the quality policy. Statistical methods are considered suitable for defining the standards of production and services, which ensure high levels of quality and better business results (Drenovac A., et al, 2013). Statistical quality control is a set of methods and procedures for collecting, processing, analyzing, interpreting and presenting data. It is used to ensure the quality of production processes and final products. The proper implementation of statistical quality control can reduce production costs (Horvat et al, 2006). A number of different types of diagrams serve as the basic tools for statistical quality control: control charts, the Pareto diagrams, histograms, scatter diagrams and the Ishikawa diagrams (Hadživuković, 1989)
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