dynamic dispatching

**Dynamic dispatching** is the **state-aware scheduling approach that changes lot-priority decisions in real time based on current fab conditions** - it outperforms fixed rules when variability and constraints shift throughout the day. **What Is Dynamic dispatching?** - **Definition**: Dispatch logic that adapts policy by queue status, tool health, due-date pressure, and risk constraints. - **Decision Mode**: Can switch heuristics or reweight scoring criteria as operating context changes. - **Data Dependency**: Requires accurate, low-latency visibility into MES, AMHS, and tool states. - **Implementation Forms**: Rule engines, simulation-guided policies, or optimization-based controllers. **Why Dynamic dispatching Matters** - **Context Fit**: Static rules rarely remain optimal across all congestion and priority regimes. - **Cycle-Time Control**: Adaptive prioritization can reduce both average and tail delays. - **Risk Response**: Improves handling of hot lots, queue-time windows, and bottleneck disruptions. - **Utilization Protection**: Better responds to sudden tool outages and recovery events. - **Delivery Performance**: Dynamic choices improve due-date adherence under volatile conditions. **How It Is Used in Practice** - **State Modeling**: Define operating regimes and associated dispatch responses. - **Rule Orchestration**: Combine baseline policy with automated overrides for critical events. - **Continuous Validation**: Evaluate dynamic policy impact with online KPIs and periodic simulation replay. Dynamic dispatching is **an advanced scheduling capability for complex fabs** - real-time policy adaptation improves flow robustness, priority execution, and overall operational performance.