Which of the following processes will benefit from statistical process control?

Statistical process control (SPC) is a method used to monitor and control a process through the use of statistical methods. Its primary purpose is to ensure that a process operates at its full potential to produce conforming products with minimal waste (in terms of time and resources).

Quality assurance is directly linked to SPC because it involves the procedures and measures necessary to ensure that products or services meet specific quality criteria. By applying SPC, organizations can identify variations in the quality of their output, allowing them to take corrective actions before substandard products reach customers. Tools such as control charts and process flow analysis are commonly used in quality assurance to maintain desired quality levels.

While assembly line efficiency and inventory tracking can benefit from various management practices and technologies, they do not directly utilize statistical methods to the same extent as quality assurance processes. SPC primarily focuses on the quality aspects of production rather than overall efficiency or inventory management. Therefore, the emphasis on quality assurance aligns most closely with the specific application of statistical process control principles.