A Survey of Statistical Process Control and Its Applications in Manufacturing Quality Assurance
DOI:
https://doi.org/10.63282/3050-9246.IJETCSIT-V3I1P114Keywords:
Statistical Process Control, Analysis Manufacturing Systems, Variation Reduction, Industrial Quality Management, Continuous ImprovementAbstract
The high-quality products are one of the challenges that industries must guarantee, which rapidly develop in terms of global manufacturing. The quality of the finished product and its degree of functioning, and the customer satisfaction may all be altered substantially by the changes in the manufacturing cycle. Statistical Process control (SPC) is a method which incorporates the application of statistical methods in inspecting, regulating and improving industrial processes. The paper provides a thorough summary of SPC and how it has been used in the manufacturing quality assurance, which is essential in ensuring that variability in processes is eliminated, to enhance the consistency of the products and this is to reduce waste. The control charts, Pareto analysis, cause-and-effect, and process capability assessment are the most commonly used SPC tools that are described and accompanied with the description of how this tool is used in practice. The use of SPC in the practical implementation of manufacturing industry is also discussed in the paper which illustrates its practical use in making sure that processes are doing a good job and provide quality compliance. Moreover, the study illustrating the applicability of SPC in a manufacturing environment and its ability to lead to measurable increase in process capabilities and reduction of defects are also present. The paper identifies the importance of SPC as one of the keystones in the quality management systems in the contemporary production.
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