Read
Read Chapters 10 and 11 in textbook Read EBSCO article: Ahmad, L., Aslam, M., & Jun, C. (2014). Designing of X-bar control charts based on process capability index using repetitive sampling. Transactions of the Institute of Measurement & Control, 36(3), 367-374.
doi:10.1177/0142331213502070ing Quality Control
In week 6, you learned about many tools that can be used in the quality control process to evaluate and analyze processes and procedures. This week we continue to look at tools that are beneficial in the quality process. There are many tools that can be used throughout the process as you have learned through the course learning over the past six weeks. There are hand-written methods, templates, and software that can be used. One software that you should make a point to learn as a quality manager is statistical process control software or SPC as it is known by.
Statistical process control software involves statistical data in order to determine what is working and what is not. Sower (2011) states that “those who use SPC to assure quality of conformance can answer the question ‘‘How are things going?’’ very simply and precisely.” Those that do not use SPC are not always able to answer this question with the same ease.
Walter Shewhart has been credited with the creation of the control chart and statistical process control concept that came about in the late 1920’s and early 1930’s. This is one of the earlier concept creations that is still being used today which shows that the concepts have proven to be successful for decades. Shewhart determined that variation can be a drawback to quality overall because variation means change. When variation occurs, something is changing and it is important to understand that change is not always good where quality is concerned. This is not to say that change isn’t a necessity, but it is important to understand when and where change should occur. This brings us to our next discussion – control charts.
Control charts are used to determine change over time. We have established that change is both good and bad where quality is concerned. The control charts will help you to determine what a good change is and what is not. Control charts consist of data that is plotted in a chronological order. The chart will have a central line for the average, an upper line for the upper control limit, and a lower line for the lower control limit. The lines use data that has been obtained from historical information. Can you see where history plays another important role in the process now? When developing a control chart, it is important to understand the type of data that can be included. Variables and attributes are the data types you will find when creating a control chart. Variable data can be measured on a continuous scale and attribute data is a number that can change based on the experiment being conducted.
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