Abstract This paper delves into the application of statistical methods for enhancing quality improvement in the manufacturing sector. The study elucidates how the integration of statistical techniques can contribute to the identification, analysis, and resolution of quality-related issues. The paper first discusses the fundamental statistical tools used in quality management, such as descriptive statistics, inferential statistics, and probability theory. It then explores how these tools can be utilized to monitor and control the manufacturing process, detect deviations from specifications, and improve process capability. The paper further examines the importance of statistical process control (SPC) in maintaining consistent quality and reducing variability. Case studies are presented to demonstrate the practical implementation of statistical methods in solving real-world quality problems. The findings highlight the effectiveness of statistical approaches in achieving cost savings, enhancing product reliability, and fostering a culture of continuous improvement within manufacturing organizations.
Brown, M. (2023). Statistical Methods for Quality Improvement in Manufacturing. Operations Research and Statistics, 5(1), 38. doi:10.69610/j.ors.20230416
ACS Style
Brown, M. Statistical Methods for Quality Improvement in Manufacturing. Operations Research and Statistics, 2023, 5, 38. doi:10.69610/j.ors.20230416
AMA Style
Brown M. Statistical Methods for Quality Improvement in Manufacturing. Operations Research and Statistics; 2023, 5(1):38. doi:10.69610/j.ors.20230416
Chicago/Turabian Style
Brown, Michael 2023. "Statistical Methods for Quality Improvement in Manufacturing" Operations Research and Statistics 5, no.1:38. doi:10.69610/j.ors.20230416
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ACS Style
Brown, M. Statistical Methods for Quality Improvement in Manufacturing. Operations Research and Statistics, 2023, 5, 38. doi:10.69610/j.ors.20230416
AMA Style
Brown M. Statistical Methods for Quality Improvement in Manufacturing. Operations Research and Statistics; 2023, 5(1):38. doi:10.69610/j.ors.20230416
Chicago/Turabian Style
Brown, Michael 2023. "Statistical Methods for Quality Improvement in Manufacturing" Operations Research and Statistics 5, no.1:38. doi:10.69610/j.ors.20230416
APA style
Brown, M. (2023). Statistical Methods for Quality Improvement in Manufacturing. Operations Research and Statistics, 5(1), 38. doi:10.69610/j.ors.20230416
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References
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