KMWE participates in a fruitful partnership with the University of Technology Eindhoven, to further improve our theoretical knowledge base. One of our current projects investigates data-driven algorithms to improve planning & scheduling methods of a manufacturer in the high-mix, low-volume, high-complexity industry. Recently, this resulted in another published paper titled:
“UNSUPERVISED PARALLEL MACHINES SCHEDULING WITH TOOL SWITCHES”. Read more
