Capacity Engine
Simulation to build ideal logistics resources
Capacity engine module provides end simulation considering numerous parameters over a larger horizon to plan the capacity of the fleet that would be ideal to meet the strategic objectives of the organizations. The planning module is customizable for a different set of eco-systems within which any organization would be deploying its assets.
Search scenarios⌘KJebel Ali container haulage
SCN-0118 · Q4 horizon · 13 weeks
Simulated runs
—
Service level
95%
Owned fleet
—
Outsourced at peak
—
| Scenario | Objective | Fleet | Outsourced | Status |
|---|---|---|---|---|
| Jebel Ali container haulageSCN-0118 | Optimum fleet size | — | — | Draft |
| KEZAD distributionSCN-0117 | Lowest cost | 22 | 3 at peak | Complete |
| Riyadh line haulSCN-0116 | Optimum fleet size | 14 | None | Complete |
Key features
What Capacity Engine gives your team.
- Trucks needed across 1,000 runsSCN-0118323334353637383940414243
Owned fleet of 38 Outsourced in peak runs
Probability-based simulation
The planning horizon is simulated many times over, so fleet capacity is set from the full range of likely outcomes.
- Optimum fleet size
- Lowest cost of transportation
- Highest service level
- Minimum outsourcing
Customizable objectives such as optimum fleet size, lowest cost of transportation, etc.
Choose what the plan should aim for, and the simulation sizes the fleet to that objective.
- Demand forecast Trip cycle time Gate & loading Shift pattern Maintenance Driver hours Seasonality Vehicle mix
Absolute parameters consideration
Numerous operational parameters are taken into account together, over the whole horizon.
Container haulage
Jebel Ali
38 prime movers
Distribution
KEZAD
22 rigid trucks
Line haul
Dubai → Riyadh
14 trailers
Cold chain
DIC
9 reefers
Applicability on numerous logistics setups
The planning module can be customised for each eco-system in which an organisation deploys its assets.
Key benefits
Why teams switch it on.
Ideal throughput from logistics assets
The fleet is planned to the capacity your strategic objectives actually need.
Ideal KPIs setup and lower deviations
Targets are set from simulated outcomes, so actual results stay closer to plan.
Optimum utilization for planned assets and known ideal time / known outsourcing requirements
You know ahead of time which work the owned fleet covers and when to bring in outside capacity.
Structured logistics operations for all the internal and external stakeholders
One agreed capacity plan gives everyone the same picture to work from.
Also in plan
Part loads consolidate into full truckloads, trips are sequenced against the fleet you actually have, and capacity is simulated before it is committed.
Bring us one lane. We will show you the difference on your own numbers.
A week of your orders, rates or invoices, run through Fero with your contracts and your carriers.