Why we use Statistical Process Control (SPC)
Today, manufacturing companies face competition, and raw material costs are going up. These are things companies can’t control. So, they need to focus on what they can control. To stay competitive, companies should always try to make things better — in terms of quality, efficiency, and cost. Many companies only check for problems after making things, but the Statistical Process Control (SPC) helps shift from finding issues later to stopping them from happening in the first place. By keeping an eye on how a process is doing in real time, the person in charge can notice if something is changing or going wrong before it leads to bad products and waste.
Statistical Process Control (SPC)
Statistical Process Control (SPC) is a popular methodology for quality control management in software project management. It is the process that allows the use of statistical methods to monitor and control quality control management. The Objective of SPC is to identify primary problems in a process and then implement appropriate actions to improve the overall quality of the product of the software development process.
Table of Content
- Why we use Statistical Process Control (SPC)
- Use of Statistical Process Control (SPC)
- Factors of SPC:
- Applications of SPC:
- Features of SPC:
- Advantages of SPC:
- Disadvantages of SPC:
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