Question

Briefly describe how statistical process control improves industrial production.

Answer 1

There are the following ways in which Statistical process control improves industrial production:-

SPC looks at multiple batches and compares them over the last week, month, year or
even longer. With SPC, operators can see long-term trends and detect problems and
patterns that are not evident when examining a single batch in real-time

Most manufacturing companies have some type of continuous improvement program underways,
such as Six Sigma or lean manufacturing, but it can be difficult to assess the program’s real
impact without SPC. Sometimes production improvement initiatives may even hit a plateau, and
SPC can be a good way to get them rolling forward again. When it comes to analyzing the
effectiveness of continuous improvement initiatives, SPC is key. With it, operators can
determine what’s working, what’s not and how long it takes for efforts to yield results.
SPC identifies opportunities for improvement and helps pinpoint what specific types of
improvements are needed the most. Then, analysis determines if the steps being taken to
improve the process are actually working. By reducing variability in the manufacturing process,
SPC helps improve product consistency and reduce product variability as well.

SPC has been around for many years because it continues to be one of the most powerful
applications available to manufacturers. Today there are lots of commercially available SPC
software packages that are powerful and very easy to use.

Integrating SPC into daily operations can help companies avoid production failures, reduce
variability and bolster continuous improvement initiatives simply by gaining better access to
real-time data and comparative analysis tools. SPC provides operators with what they need to
control the production and gives managers what they need to control the production.