To facilitate the personalized smart manufacturing paradigm with cognitive automation
capabilities, Deep Reinforcement Learning (DRL) has attracted ever-increasing attention by …

While attracting increasing research attention in science and technology, Machine Learning
(ML) is playing a critical role in the digitalization of manufacturing operations towards …

Purpose This study aims to compare and evaluate the application of commonly used
machine learning (ML) algorithms used to develop models for assessing energy efficiency of …

Stock trading has a more significant influence on the global economy. Stock trading with
portfolio optimization became challenging due to the complexity of analyzing the high …

In recent years, the study of enterprise survival development and cooperation in the whole
economic market has been rapidly developed. However, in most literature studies, the …

Within the area of manufacturing planning and control, there is a long ongoing debate on
when and if decisions should be integrated into a centralized model or split into separate …

Stock trading highly contributes to the economic growth of the country. The stock trading
objective is to earn profits with buy/sell/hold decisions on the set of stocks in the portfolio …

Digital Twins (DT) are nowadays widely used and provide a benefit for the companies using
it. One service of the DT is the simulation of a production process. This enables an …

Forecasting lead times (LT) is a very challenging task in Production Planning and Control
(PPC). LT is one of the most important elements to bear in mind because it can provide …

Although in recent years reinforcement learning has become very popular the number of
successful applications to different kinds of operations research problems is rather scarce …