efficiently. Our empirical findings robustly validate that incorporating ESG metrics significantly enhances the predictive prowess … the implementation of ESG is impossible. The foundation of our predictive model, bonded by a strong methodology, includes …

great potential in the field of Predictive Maintenance. In this thesis, a methodology to determine and compare the average … maintenance costs per cycle for Reactive, Preventive, and Predictive Maintenance, as well as a Reference Case is developed. This … suggest that maintenance costs per cycle for Predictive Maintenance are 36.0 % lower than for Preventive Maintenance and 88 …

also discuss model selection in terms of posterior predictive assessment. We illustrate the proposed approach with a …

By applying machine learning algorithms, predictive business process monitoring (PBPM) techniques provide an … seldomly investigated the predictive performance of machine learning approaches and their applicability at early process steps … predictive performance, whereas Random-Forest-aggregation-encoded approaches perform better regarding temporal stability due to …

for predictive maintenance. The proposed method utilizes a machine learning project cycle and Python libraries to … concept of spare parts management, presenting insights from predictive maintenance outcomes and providing explanations for … utilizing machine learning models in predictive maintenance is highly beneficial; however, the binary outcomes of these models …