Product optimization

Product Optimization is a compulsory course taught in the first semester of the fourth year of the bachelor’s degree in Chemical Engineering. It builds on statistical concepts already familiar to students, which are applied to solving problems related to the serial processing of products obtained through physical and chemical transformations of various raw materials.

The course content is presented with an applied approach, alternating between the explanation of concepts and problem-solving exercises. The aim is to convey to students the importance of connecting concepts from different fields of knowledge and to help them develop skills in data analysis and visualization tools. For this purpose, the Python programming language is used.

 

Product optimization
TEM image of lignin nanoparticles
Product optimization
Statistics, histogram and probability distribution function
of the lignin nanoparticles

As the course progresses, concepts and tools used in quality engineering are introduced, with special emphasis on control charts—one of the most widely used tools in the DMAIC methodology. In the final part of the course, the management of raw materials, processes, and products, as well as information flows, is analyzed to ensure traceability throughout different supply chains, with special attention paid to the most relevant industrial sectors in the region.