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Statistical Quality Control (SQC) is a scientific method that uses statistical techniques to monitor and control a process to ensure that it operates at its full potential. In the context of operations management, SQC is applied to manufacturing and service processes to identify deviations from standards, reduce variability, and improve quality. It helps in identifying defects, improving productivity, and maintaining consistency in products and services. SQC works by collecting data from production processes and analyzing it using statistical methods to detect any variations that could affect the quality of output. These variations could be due to assignable causes (which can be identified and corrected) or natural causes (which are inherent to the process). By focusing on continuous improvement and controlling process variations, SQC supports Total Quality Management (TQM), Six Sigma, and other quality initiatives. One of the essential components of SQC is the use of specific tools known as the “Seven Basic Tools of Quality.” These tools are simple, visual, and highly effective in identifying and solving quality-related issues. These tools were initially popularized in Japan by quality control expert Kaoru Ishikawa and are widely used in the field of operations management. 1. Check Sheet A check sheet is a structured, prepared form used for collecting and analyzing data. It helps in systematically recording and compiling data from observations or processes. In operations, check sheets are used to collect defect data, count frequencies, or track events over time. For example, in a ______ ______ __________ ______ _____ ___ _________ _______ ____ ________ ________.
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