Abstract
This chapter explores control charts that are commonly used in food manufacturing processes to determine whether a process is operating under control. These charts are useful in finding ways to improve a process and assure production of satisfactory products. The worksheet uses data obtained for some characteristics of a product obtained during a production run and creates control charts from the given data. In addition, it describes how to link to another worksheet and search for the desired information. In situations when data values do not follow normal distribution, the averages of groups of measurements are taken from the parent data approach normal distribution. This fact is used in analyzing samples obtained from a large collection of data. In food quality control, samples are drawn from large lots to obtain indicators of the magnitude of defects. If the sample size is small compared to the lot size, a Poisson distribution is used as an approximation of binomial distribution. Also, scenarios in which it is needed to know whether a sample mean lies within the confidence limits of the entire population in quality control are discussed.
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