Table Editor
Manage geocoded customer locations, daily demand distributions, and penalty costs with inline unit dropdowns.
Network GIS Map
Customer
Warehouse
Factory
GFA Settings
Center of Gravity (CoG) analysis to determine optimal facility count & positions based on demand weights.
GFA Summary Results
DCs Required
0
Max Service Radius
0 km
Total Demand Weight
0 units
Estimated Trans. Cost
$0
Recommended DC Locations
Distance & Transport Cost Tradeoff
MILP Solver Parameters
Mixed-Integer Master Planning solver for facility location selection and multi-echelon flow allocation.
Master Plan Results
Total Profit
$0
Total Revenue
$0
Total Cost
$0
Active DCs Selected
0 / 0
Optimal Network Flows
Optimal Flow Allocation Matrix
| Source Facility | Destination | Product | Optimal Volume (Units) | Transport Cost ($) | Path Status |
|---|---|---|---|---|---|
| Run optimization to generate flow matrix... | |||||
Cost Structure Breakdown
Live Network Animation
Active Shipments: 0
Service Level
100%
Net Profit
$0
Orders Placed
0
Backorders
0
OTIF %
100%
Fleet Util %
85%
CO2 Tons
0.0
Lead Time
2.1d
Holding Cost
$0
Inv Turns
12.4×
Bullwhip Ratio
1.15×
Risk Recovery
4.2d
1. DC Stock Trajectory (Units)
2. Service Level ELT Rate (%)
3. Fleet Vehicles In Transit
4. Demand vs Order Fulfillment
5. Gross Profit vs Trans Spend
6. On-Time Delivery Rate (OTIF %)
7. CO2 Emissions Footprint (Tons)
8. Average Transit Lead Time (Days)
9. Backordered Units Trajectory
10. Cumulative Holding Cost ($)
11. Inventory Turnover (Turns/yr)
12. Bullwhip Ratio Curve
13. Order Fill Rate %
14. Capacity & Recovery Rate
Telemetry Log Stream
[00:00] Simulation initialized with seed 42. Ready to run.
Executive Analytics & Performance
Drag plot headers to rearrange card positions. Use metric dropdowns to choose customizable KPI curves.
KPI Summary Matrix (18 Metrics)
| Performance Metric | GFA Estimate | NO Optimal Plan | Dynamic SIM Realized | Target / Benchmark |
|---|---|---|---|---|
| 1. Total Net Profit ($) | - | - | - | Maximized |
| 2. Total Gross Revenue ($) | - | - | - | Maximized |
| 3. Total Logistics Operating Cost ($) | - | - | - | Minimized |
| 4. Freight Transportation Spend ($) | - | - | - | Minimized |
| 5. Inventory Carrying & Holding Cost ($) | - | - | - | Controlled |
| 6. Facility Fixed Lease & Amortization ($) | - | - | - | Optimized |
| 7. Inbound/Outbound Handling Cost ($) | - | - | - | Controlled |
| 8. Backorder Stockout Penalty Fee ($) | - | $0 | $0 | $0 (Zero Penalty) |
| 9. Expected Lead Time Service Level (ELT %) | - | 100.0% | - | ≥ 98.0% |
| 10. On-Time In-Full Delivery Rate (OTIF %) | - | 100.0% | - | ≥ 95.0% |
| 11. Average Transit Lead Time (Days) | - | 2.0 Days | 2.1 Days | ≤ 3.0 Days |
| 12. Fleet Vehicle Payload Utilization (%) | - | 88.5% | 85.0% | ≥ 80.0% |
| 13. Total Transport Distance Driven (km) | - | - | - | Minimized |
| 14. CO2 Environmental Emissions (Tons) | - | - | - | Minimized |
| 15. Order Fill Rate (%) | - | 100.0% | - | ≥ 99.0% |
| 16. Inventory Turnover Ratio (Turns/yr) | - | 14.2× | 12.4× | ≥ 10.0× |
| 17. Bullwhip Amplification Ratio | - | 1.00× | 1.15× | ≤ 1.20× |
| 18. Disruption Recovery Time (MTTR Days) | - | - | 4.2 Days | ≤ 7.0 Days |