Discrete Event Simulation for Manufacturing Optimization
Allowed manufacturing stakeholders to test operational changes in a virtual environment, eliminating costly real-world trial disruptions.
Situation
A manufacturing client needed to evaluate operational changes such as automation adoption, shift schedule adjustments, and workflow modifications. Physical testing was expensive, disruptive to production, and limited in scalability.
Solution
Developed a digital twin of factory operations using discrete event simulation to enable scenario testing across production configurations and operational strategies.
OUTCOMES
Challenges
Testing
- •Expensive physical testing
- •Production disruption risks
- •Limited scalability testing
Operations
- •Automation introduction complexity
- •Shift schedule adjustments
- •Workflow reconfiguration impact
Solutions
Factory Digital Twin
Modeled production lines, machines, and human operators as discrete simulation entities.
- Represented machines as discrete actors
- Modeled operator workflow interactions
- Simulated end-to-end production flow
Throughput Simulation
Simulated throughput, bottlenecks, and queue dynamics across production systems.
- Identified production bottlenecks early
- Modeled queue accumulation patterns
- Quantified throughput variability drivers
Variable Input Modeling
Incorporated configurable operational inputs across production scenarios.
- Modeled shift pattern variations
- Simulated equipment performance changes
Resource Reconfiguration
Simulated adding or removing resources across workflows and production stages.
- Tested staffing level adjustments
- Evaluated machine allocation strategies
- Measured utilization improvements
Workflow Optimization
Evaluated alternative workflow structures under simulated production conditions.
- Modeled alternative process layouts
- Compared routing sequence options
- Identified efficiency improvements
Peak Load Testing
Stress-tested production systems under peak operating conditions.
- Simulated demand surge scenarios
- Evaluated resilience thresholds
- Identified scaling constraints early