process-simulation-modeler

# Process Simulation Modeler ## Overview The Process Simulation Modeler skill provides comprehensive capabilities for discrete event simulation. It supports process flow modeling, resource allocation analysis, scenario comparison, and capacity optimization. ## Capabilities - Process flow modeling - Resource allocation simulation - Queue behavior analysis - Scenario comparison - What-if analysis - Capacity optimization - Layout simulation - Monte Carlo simulation ## Used By Processes - LEAN-004: Kanban System Design - CAP-001: Capacity Requirements Planning - TOC-002: Drum-Buffer-Rope Scheduling ## Tools and Libraries - AnyLogic - FlexSim - Simio - SimPy ## Usage ```yaml skill: process-simulation-modeler inputs: model_type: "discrete_event" # discrete_event | continuous | agent_based process_flow: - step: "Arrival" distribution: "exponential" rate: 10 # per hour - step: "Processing" distribution: "normal" mean: 5 std_dev: 1 - step: "Inspection" distribution: "uniform" min: 2 max: 4 resources: - name: "Operator" quantity: 2 - name: "Inspector" quantity: 1 simulation_parameters: run_length: 480 # minutes replications: 30 warm_up: 60 # minutes outputs: - simulation_model - performance_metrics - utilization_statistics - queue_analysis - scenario_comparison - recommendations ``` ## Simulation Components ### Entities - Items flowing through the system - Exa...