Fuzzy control charts represent a significant evolution in Statistical Process Control (SPC) by addressing intrinsic uncertainties in measurement and human evaluation that classical approaches ...

This project is part of the Quality Data Analysis course at Politecnico di Milano. The primary objective is to design and evaluate statistical methods for detecting defects in 3D-printed Voronoi ...

This course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to reduce variation.

As manufacturing technology moves toward more computerized automation, statistical process control (SPC) techniques must adapt to keep pace with the new environment and take advantage of the ...

However, statistical process control monitoring is underestimated in most quality control in cases; although it is important not only for process stability and efficiency assessment but also for ...

The most successful method available for such endeavors is called SPC (statistical process control). SPC can also be used to meet ISO requirements for "continual improvement" as well as FDA ...