During the last few decades, there has been significant progress in developing industry-
driven predictive models for machining operations. This paper presents the state-of-the-art in
predictive performance models for machining, and identifies the strengths and weaknesses
of current models. This includes a critical assessment of the relevant modelling techniques
and their applicability and/or limitations for the prediction of the complex machining
operations performed in industry. This paper includes contributions from academia and …