A predictive model for die roll height in fine blanking using machine learning methods

Joachim Patrick Thomas Stanke, Andreas Feuerhack, Daniel Harald Trauth, Patrick-Marcel Mattfeld, Fritz Klocke
Under the concept of "Industry 4.0", production processes will be pushed to be increasingly interconnected, information based on a real time basis and, necessarily, much more efficient. In this context, capacity optimization goes beyond the traditional aim of capacity maximization, contributing also for organization's profitability and value. Indeed, lean management and continuous improvement approaches suggest capacity optimization instead of maximization. The study of capacity optimization
more » ... costing models is an important research topic that deserves contributions from both the practical and theoretical perspectives. This paper presents and discusses a mathematical model for capacity management based on different costing models (ABC and TDABC). A generic model has been developed and it was used to analyze idle capacity and to design strategies towards the maximization of organization's value. The trade-off capacity maximization vs operational efficiency is highlighted and it is shown that capacity optimization might hide operational inefficiency.
doi:10.18154/rwth-2018-230970 fatcat:3l27vftah5gv7n5ectbgjpgz6q