Currently, tribal knowledge and simple heuristics are used to store products in the finished goods warehouse. Quad Infotech is conducting studies into using machine learning based approaches to come up with more optimal storage locations. The goal is to reduce overall time taken for product storage and picking. Clustering algorithms are yielding storage instructions that will save up to 30% …
Quad R-factor Management System provides millions in savings thru improved rolling practice
The Quad R-factor System has paid for itself in months through significant yield improvements. and sustainable production practices. Cobble rates have been cut in half with reported yield increases of up to 2% and shift utilization increased by 3%. These results have been achieved using a holistic approach to rolling mill operations. The Quad R-factor System (QRFS) clearly shows the …
Quad Infotech develops a new Machine Learning based approach to bring significant accuracy improvements in the calculation of predicted physicals
The new approach being introduced uses the latest in machine learning techniques to more closely relate chemical spectrometry data to predicted physical properties, yielding better results than existing regression models. Several machine learning approaches were evaluated, including AdaBoost, Random Forest and MLP. After thorough analysis, the one with the highest R2 value and other useful characteristics was selected. It is …