Multi-Agent Simulation in semiconductor manufacturing is a modeling approach where multiple autonomous agents (representing tools, lots, operators, transporters) interact according to defined rules — the emergent behavior of the system reveals complex dynamics that cannot be predicted from individual agent behavior alone.

Key Agents in Fab Simulation

• Tool Agents: Model equipment availability, processing rules, PM schedules, and failures.
• Lot Agents: Carry route information, priority, and processing history.
• Transport Agents: Model AMHS (Automated Material Handling System) vehicle routing and delivery.
• Operator Agents: Model human resource availability and task allocation.

Why It Matters

• Emergent Behavior: Complex fab phenomena (congestion, starvation, deadlocks) emerge naturally from agent interactions.
• Decentralized Control: Test distributed decision-making strategies (like real fabs) rather than centralized optimization.
• Scalability: Adding new tools, routes, or products just means adding new agents.

Multi-Agent Simulation is the fab as a society of agents — modeling complex factory dynamics through the interactions of autonomous tool, lot, and transport agents.