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Running head: STATISTICAL PROCESS CONTROL

Statistical Process Control
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STATISTICAL PROCESS CONTROL

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Statistical Process Control
Statistical process control (SPC) is defined as the scientific, data-oriented methodology of
quality control that is employed in monitoring and controlling of a process. As a field in quality
control, the use of statistical process control is applied in many aspects including manufacturing
systems. However, while being applied in these manufacturing systems it aims is majorly to
improve the quality and cost effectiveness of the process involved. Notably, in this journal SPC
was noted to be of higher quality results and efficiency compared to the end product inspection
technique. SPC in manufacturing industries has therefore used a platform on which faultiness of
machines, workers performance and predict future actions that can be adopted to ensure the
product is of quality and cost-effective. In this paper, the journal application of statistical process
control in manufacturing industries will be summarized to provide a deeper context onto which
SPC can be understood.
On the contemporary world, the competitiveness of an industry is paramount importance
as it determines the level; to which the products produced can exceed customer satisfaction and
needs. An industry cannot survive in a competitive market while it relies on its past performances
even when they have a heard a long-ranged success story. Notably, some of the well-known
companies who in the past used to top competitors in the market have fallen out of the market as
a result of poor planning. Ideally, while a company relentlessly seeks to be competitive by
providing...