Development of a Multiobjective Scheduler for Semiconductor Manufacturing

Abstract

Scheduling of semiconductor wafer fabrication system is identified as a complex problem, involving multiple and conflicting objectives (meeting due dates and minimizing waiting time for instance) to satisfy. In this study, we propose an effective approach based an artificial neural network technique embedded in a multiobjective optimization loop for multi-decision scheduling problems in a semiconductor wafer fabrication environment.