Scheduling Algorithms
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
Workload Interpretation for Brownian Models of Stochastic Processing Networks
Mathematics of Operations Research
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
Product mix optimization for a semiconductor fab: modeling approaches and decomposition techniques
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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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.