Quality control is the process that ensures customers receive products that are free of defects and meet their needs. Quality control that is performed incorrectly puts consumers at risk.

Effective quality control in manufacturing can prevent major recalls. Quality control tools that are commonly used include:

End-to-end control of all your manufacturing process

Maximize quality and efficiency by 30%

  • By tracking production metrics, statistical process control (SPC) monitors and controls quality. SPC assists quality managers in identifying and resolving problems before products leave the facility.
  • The Six Sigma methodology employs five key principles to ensure products are customer-focused and defect-free.

 

The benefits of performing an automated root cause analysis using quality control software

It is crucial to have quality control software for manufacturing  that can identify the factors that cause defects or quality deviations, and we’ll show you why running an automated Root cause analysis is probably one of the best ways to achieve this.

 Here are the two most important questions about it:

Using quality control software for manufacturing, how do you perform a root cause analysis?

Identifying root causes has been challenging, especially when there are numerous processes being carried out.

Tracing defective problems (defective component, human error, design problem, test problem, false alarms) is necessary to understand the real reason for each failure in your industry. A report from the automated testing equipment is complemented by the feedback from the technician who actually fixed the faulty unit.

 

Using the information from the technicians who repair faulty units, we ensure we know everything it takes to improve your production line.

Our diagnostic analytics can certainly help to investigate quality issues and make changes in the product design towards better manufacturability, if we review this data.

What are the ways in which quality control software improves manufacturing efficiency and quality?

 

Using QualityLine AI manufacturing analytics, you can optimize and control the quality of your operations, including the performance of your vendors.

Due to a lack of time to collect all those feedbacks immediately for every faulty unit that has been repaired, we strongly recommend the use of a quality control software for manufacturing that analyzes and visualizes the repairs activities in real-time.

 

This makes your manufacturing process stand out. Our team makes all the effort so you will spend less time on figuring out the problem and more time on fixing and preventing it.