Process Simulation Modeler Skill

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

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
Examples: products, customers, orders

Resources

Required for processing
Examples: machines, operators, tools

Queues

Waiting areas
FIFO, priority, or custom rules

Processes

Work performed on entities
Service time distributions

Statistical Distributions

| Distribution | Use Case | Parameters | |--------------|----------|------------| | Exponential | Arrival times | Mean | | Normal | Processing times | Mean, Std Dev | | Triangular | Limited data | Min, Mode, Max | | Uniform | Equal probability | Min, Max | | Lognormal | Repair times | Mean, Std Dev | | Weibull | Equipment life | Shape, Scale |

Performance Metrics

| Metric | Definition | Target | |--------|------------|--------| | Throughput | Units per time period | Maximize | | Cycle Time | Time through system | Minimize | | WIP | Work in process | Minimize | | Utilization | Resource busy % | 70-85% | | Queue Length | Entities waiting | Minimize | | Wait Time | Time in queue | Minimize |

Scenario Analysis Process

Build baseline model
Validate against actual data
Define scenarios to test
Run simulations
Analyze results
Make recommendations

Monte Carlo Simulation

For uncertainty analysis:

1. Define input distributions
2. Run many iterations
3. Collect output distributions
4. Calculate confidence intervals
5. Identify risk factors

Model Validation

Compare to historical data
Face validity with experts
Sensitivity analysis
Stress testing

Integration Points

CAD/layout systems
ERP data sources
Real-time data feeds
Optimization solvers

Agent Skills: Process Simulation Modeler

Install this agent skill to your local

Skill Files