Infusing business optimization processes with machine learning and expert knowledge
Εισαγωγή μηχανικής μάθησης και γνώσεων ειδικών σε θέματα βελτιστοποίησης επιχειρήσεων

Master Thesis
Author
Αδαμαντίδης, Θεόδωρος
Adamantidis, Theodoros
Date
2022-07Advisor
Γιαννακόπουλος, ΓεώργιοςView/ Open
Keywords
Machine learning ; Μηχανική μάθηση ; Optimization ; Βελτιστοποίηση ; Interpretability ; Επεξηγησημότητα ; Generalization ; ΓενίκευσηAbstract
Leaving in the 4th industrial revolution, the digitization in manufacturing and the rapid increase of AI applications have raised new opportunities. In the context of this work, the infusion of machine learning on a real word manufacturing optimization knapsack-like problem will be researched and addressed by focusing on the interpretability and generalization of the models. The problem will be described, modelized, and formulated mathematically, the data collection and dataset construction will be presented, and machine learning techniques will be used and compared based on which achieves extracting the most information out of the data. Also, the explanation of the trained models is discussed, and the most efficient way of data constructions is checked in terms of generating a model that generalizes better.