A Consolidation Optimisation reduces costs by merging inefficient flows and leveraging spare capacity across your network. It can increase or decrease throughput at existing facilities, and simulate the shutdown of underperforming ones — provided capacity exists elsewhere to absorb the flow. Crucially, no new facilities are opened.
If you haven't already, we recommend reading the Optimisation Overview article in the Knowledge Base, which covers all available optimisation types.
To run any optimisation, SimPath needs three things from your scenario:
Costs are not mandatory, distance-based optimisation is always available. However, configuring costs unlocks multidimensional optimisation and surfaces the trade-offs between competing cost drivers.
A scenario with sufficient information to optimise will display a blue "Optimisable" badge next to its name.
In a Consolidation Optimisation, you work with optional locations: facilities the optimiser is allowed to shut down or consolidate into.
| Location type | Status | Flex Capacity |
|---|---|---|
| Distribution Centres | Optional | 15% |
| Factories | Optional | 20% |
| Treatment Centres | Mandatory | 5% |
Setting Flex Capacity is important: the optimiser needs facilities with headroom to absorb consolidated flows. Flex Capacity can also be set on a per-location basis, and specific locations can be excluded, mandatory or have their flows fixed.
When you're happy with your configuration, click Save.
You'll be taken to the optimisation page, where a pink indicator confirms this is a Consolidation run. A live progress view shows your chosen cost metric falling as the optimiser works through alternatives.
The Optimisation Results page lists all optimised networks alongside their performance across cost metrics. For a true-scale network, this typically yields dozens of alternatives. In this training example, all three results are cheaper than the base network.
Select the lowest total cost network and open the Compare view to do a side-by-side comparison against the base — or between any two optimised networks.
In this example, the comparison reveals:
The geographical map comparison makes this concrete: the North West factory visible in the base network is absent in the optimised one. Retailers that previously relied on it (via the Yorkshire DC) are still fully served, just from different facilities.
This is the trade-off SimPath is designed to surface: higher transport costs versus lower facility costs, and whether consolidation makes sense for your network.