One solver for all — A generic allocation concept for planning and shop floor control

This paper gives an overview of several optimization solutions for semiconductor problems using mixed integer programming (MIP). The single solutions presented in former papers are not key of the publication. We rather focus on the generic portion within each solution and the approach of building a unique MIP model. This allows us to reduce complexity in different applications. The universal model enables the use in a wide range of problems for different optimization stages mapped to static allocation problems. The model itself is a kit of constraints that can be activated according to the problem needs. The underlying data layer is an abstract database model that can be fed by different data sources. The paper describes the advantages of the consistent technical embedding of database, different solvers and generic MIP models in the MES environment.