In the ever-evolving landscape of modern industrial settings, the demand for efficient and high-quality production processes has become more critical than ever. The need for continuous improvement and the reduction of process variations have led to the widespread adoption of various methodologies aimed at enhancing industrial efficiency and customer satisfaction. Among these methodologies, Statistical Process Control (SPC) and Six Sigma have emerged as key tools for organizations seeking to achieve excellence in manufacturing and service industries.
Martin, M. (2023). Statistical Process Control and Six Sigma Methodologies. Operations Research and Statistics, 5(1), 39. doi:10.69610/j.ors.20230516
ACS Style
Martin, M. Statistical Process Control and Six Sigma Methodologies. Operations Research and Statistics, 2023, 5, 39. doi:10.69610/j.ors.20230516
AMA Style
Martin M. Statistical Process Control and Six Sigma Methodologies. Operations Research and Statistics; 2023, 5(1):39. doi:10.69610/j.ors.20230516
Chicago/Turabian Style
Martin, Michael 2023. "Statistical Process Control and Six Sigma Methodologies" Operations Research and Statistics 5, no.1:39. doi:10.69610/j.ors.20230516
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ACS Style
Martin, M. Statistical Process Control and Six Sigma Methodologies. Operations Research and Statistics, 2023, 5, 39. doi:10.69610/j.ors.20230516
AMA Style
Martin M. Statistical Process Control and Six Sigma Methodologies. Operations Research and Statistics; 2023, 5(1):39. doi:10.69610/j.ors.20230516
Chicago/Turabian Style
Martin, Michael 2023. "Statistical Process Control and Six Sigma Methodologies" Operations Research and Statistics 5, no.1:39. doi:10.69610/j.ors.20230516
APA style
Martin, M. (2023). Statistical Process Control and Six Sigma Methodologies. Operations Research and Statistics, 5(1), 39. doi:10.69610/j.ors.20230516
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References
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