For reliable process control
What is SPC?
Statistical process control (SPC) is a method used in quality control. The goal of SPC is to identify and eliminate causes of variation in production processes to improve the quality of the final product. SPC relies on statistical methods to monitor and analyze data collected from production processes. This data can be used to identify trends and potential problems so they can be corrected before they cause defects in the final product.
Why is SPC important?
When it comes to manufacturing quality products, statistical process control or SPC is one of the most important tools in a manufacturer’s arsenal. SPC is a method of quality control that relies on statistical analysis to identify and correct problems in the manufacturing process. It can be used to monitor everything from individual components to the entire production line.
One of the advantages of SPC is its ability to detect very small deviations from the norm. This allows manufacturers to identify and correct problems before they become serious and result in material loss. In addition, SPC allows for quick and accurate comparison of current production data with past data, which can help identify trends and patterns. This information can then be used to make adjustments to make product quality more stable for long-term improvement.
An example of how SPC can be used to improve quality can be seen in the automotive industry. In the past, automakers struggled with inconsistent sizes and shapes of bolts used in their vehicles. This led to problems such as screws loosening over time and rattling noises coming from the dashboard. To address this problem, statistical process control began to be used to monitor screw manufacturing.
What is a LIMS?
A LIMS, or Laboratory Information Management System, is a software application used in quality control and research laboratories to manage and automate the process of data collection and analysis. A LIMS can track samples and results, manage test protocols and calculations, and generate reports. It can also include features for electronic lab notebooks, data management, inventory control and collaboration. Using a LIMS can improve the efficiency and accuracy of data collection and analysis and help laboratories achieve better quality control.
How can a LIMS help with
strategical process control?
A LIMS can help with statistical process control (SPC) in many ways. For example, a LIMS can store data on past process performance, making it easy to track and analyze current process performance. This information can help identify and correct problems before they lead to poor product quality. A LIMS can also create charts and graphs to visualize process data and make it easier to identify potential problems and trends. In addition, a LIMS can automate the collection of process data, making it easier to gather accurate information in a timely manner. With all this information at their fingertips, companies using SPC can improve product quality and consistency while reducing manufacturing costs.
Advantages of [FP]-LIMS for SPC:
[FP]-LIMS from Fink & Partner offers several other benefits in addition to the features mentioned above. With the LIMS software, which impresses due to its enormous flexibility and adaptability, you can easily define your tolerances and deviations are immediately highlighted in color in the analysis management screen. All data can be automatically collected via standardized or specially programmed interfaces and evaluated in real time.
Create reports, diagrams and keep up to date with current trends in real time, so you never miss a development in your production. With our Audit trail function, you can trace back every process and be well prepared for your next audit appointment. Unlike other LIMS, [FP]-LIMS adapts to your processes and not the other way around. Your data is preserved, and we support you from the initial consultation to the completed installation.
Arrange a free demo appointment now to gain exclusive insights into our software and discuss your requirements with us.