Lot release policies, i.e., the decision which lots to start in production, in what quantity and at what time, have a significant influence on fab performance. Recent research focused on closed-loop policies. However, most studies only demonstrated the feasibility in settings with low-mix or low-volume simulation testbeds. In this paper, we focus on a real-world pre-assembly facility in a high-volume and high-mix semiconductor wafer fab. We conduct an in-depth, deterministic discrete-event simulation in two stages, using real production data and demands. First, we test two existing open-loop lot release policies (random and constant release) against a simple closed-loop release policy. Significant improvements in on-time delivery, bottleneck utilization, and throughput are notable. Second, we compare three closed-loop release policies and indicate which policy provides the best results for certain KPIs like enhanced on-time delivery or reduced tardiness.
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