Statisitical Process Control
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Statistical Process Control: Morning Routine
By
Monique T. Guillory-Jackson
University of Phoenix
Operations Management
OPS/571
Quality control is important in any organization that wants to remain competitive in order to be profitable, whether it is a manufacturing or a service industry. Process control procedures are tools that can be applied to any process in an effort to monitor the quality of a product or service and improve that quality. It is important to remember that “process control is concerned with monitoring quality while the product or service is being produced (Chase, Jacobs, & Aquilano 2006 pg 354).” The reason for this is that the information of whether or not a product or service is meeting quality specifications is much more useful if it is received during the process when something can be done about it. Finding out this information after delivering an inferior product or service is not nearly as helpful to an organization. Statistical process control (SPC) is a method of quality control that uses “random samples of output from a process to determine whether the process is producing (items) within a selected range (Chase, Jacobs & Aquilano 2006).” Unlike other methods of quality control which are usually based on variables of various measurements, SPC is based upon “yes or no” specifications. Another way said SPC basically tests whether a product or service is “good or bad.” While there are still measurements involved they are much simpler equations. Let’s take a veritable simple process and use the SPC method to evaluate where quality control and detect where in the process improvements can be made to ensure the output is within a selected range. Before this method can be applied however, the variations in the output must be identified and control limits must be set. The authors of Operations management for a competitive advantage tell us that “it is generally accepted that as...
By
Monique T. Guillory-Jackson
University of Phoenix
Operations Management
OPS/571
Quality control is important in any organization that wants to remain competitive in order to be profitable, whether it is a manufacturing or a service industry. Process control procedures are tools that can be applied to any process in an effort to monitor the quality of a product or service and improve that quality. It is important to remember that “process control is concerned with monitoring quality while the product or service is being produced (Chase, Jacobs, & Aquilano 2006 pg 354).” The reason for this is that the information of whether or not a product or service is meeting quality specifications is much more useful if it is received during the process when something can be done about it. Finding out this information after delivering an inferior product or service is not nearly as helpful to an organization. Statistical process control (SPC) is a method of quality control that uses “random samples of output from a process to determine whether the process is producing (items) within a selected range (Chase, Jacobs & Aquilano 2006).” Unlike other methods of quality control which are usually based on variables of various measurements, SPC is based upon “yes or no” specifications. Another way said SPC basically tests whether a product or service is “good or bad.” While there are still measurements involved they are much simpler equations. Let’s take a veritable simple process and use the SPC method to evaluate where quality control and detect where in the process improvements can be made to ensure the output is within a selected range. Before this method can be applied however, the variations in the output must be identified and control limits must be set. The authors of Operations management for a competitive advantage tell us that “it is generally accepted that as...