Corporate credit ratings provide multiple strategic, financial, and managerial benefits for decision-makers. Therefore, it is essential to have accurate up-to-date continuously monitor companies’ financial situations when making decisions. Machine learning (ML)-based internal models can be used the assessment of using annual statements. Particularly, necessary check whether these ML achieve bet...

−− Servocontrol loops are an important component in the control architecture of machine tools. Such loops manage the axes based on requirements of velocity, position, and acceleration. The success of modeling and control techniques applied to this level sets the basis for production of parts with high quality as well as cycle time reduction. First, an introduction is presented for the three may...

Production scheduling deals with scheduling production jobs on a machine (single or multiple) in order to optimise a specific objective such as total weighted completion times or total weighted tardiness. The assumption that machines are always available for processing jobs is generally used in the production scheduling literature. In reality, machines often are unavailable due to preventive ma...

The objective of this thesis is to design and develop a knowledge base model to support the maintenance system structure. The aim of this model is to identify the failure modes which are the heart of maintenance system through the functional analysis and then serves as a decision support system to define the maintenance tasks and finally to implement a preventive maintenance task. This knowledg...

Previous studies have shown that the predictive accuracy of fast and frugal decision trees (FFTs) is comparable to decision trees generated by machine-learning (Martignon et al., 2008). FFTs are thought to be useful decision tools that are cognitively plausible to internalise, as opposed to complex machine-learning algorithms. Nonetheless, there seems to be a lack of behavioural studies in the ...