Ops 571 Statistical Process Control

Topics: Statistics, Standard deviation, Confidence interval Pages: 3 (937 words) Published: April 15, 2013
Chase, Jacobs and Aquilano pose questions such as, “How many paint defects are there in the finish of a car? [and] Have we improved our painting process by installing a new sprayer?” These questions are meant to investigate and apply different techniques that we can use to improve the quality of life. Quality control not only applies to manufacturing techniques, it can also be applied to everyday life. This discussion will focus on a specific method of quality control called statistical process control that will ensure my morning process is effective. One method of quality control can be pursued through process control procedures like statistical process control or SPC. SPC “involves testing a random sample of output from a process to determine whether the process is producing items within a preselected range”. (Chase, Jacobs & Aquilano, 354) SPC is a method that can be applied to a process in order to monitor or control that process. In week one, I described a personal process of waking up in the morning through to going to work. In addition to my process, I presented several bottlenecks that can slow my process down including the ability of my alarm clock working, weather impact on travel time, and availability of gym equipment. In the examples below, I will focus on how alarm failures have affected my morning process. SPC has shown how statistical data can be charted in order to see how my morning process is affected by my bottlenecks and whether or not it is a positive. Goods or services are observed not as variables but as attributes. “Attributes are quality characteristics that are classified as either conforming or not conforming to specification.” (Chase, Jacobs & Anquilano, 354) In example one, a sample was taken 10 times over a 30 day period in which alarm failures were observed. In order to create a visual representation of the statistics, we must combine the data from the sample. Once the data is gathered, we can provide a solution to...

References: Chase, R. B., Jacobs, F. R., Aquilano, N.J. Operations management for competitive advantage (11th ed). New York: McGraw Hill/Irwin.
Green Jr. K, Toms L, Stinson T. STATISTICAL PROCESS CONTROL APPLIED WITHIN AN EDUCATION SERVICES ENVIRONMENT. Academy Of Educational Leadership Journal [serial online]. June 2012;16 (2):33-46.
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