I wonder if machine learning would be a good way to predict production performance meters (like machine speed pcs/h, machine setup time, waste). The product is carton boxes, so quite simple thing from construction point (easy to classify)
The scenario is that there are several types of machines, different designs of boxes (which can be grouped into lets say 10 types), so those parameters are not numeric, then we have numeric parameters like carton grammage, box width,length, height, number of colors. So I am looking to train a model which after providing machine type, box type, grammage, width,length etc would predict machine setup time, runnng speed i pcs/h, waste %.
If machine learing is a good tool for that purpose then please can you tell me which kind of models would suit the best.

Thanks in advance