South African Bulk Terminals
Decision Support

Scenario Planner

Enter each intervention in the units you actually deploy — assets, staff, trucks, tonnes — and watch projected board-level outcomes recompute live. A transparent what-if model: every unit-to-outcome relationship is shown, not hidden.

Intervention levers

Retire legacy mechanical assets driving unplanned downtime.

assetsmax 12 · base 0
≈ 0% mechanical downtime cut

Staff enrolled in the Mon/Fri unplanned-absence intervention.

staffmax 1,200 · base 0
≈ 0% unplanned absence cut

Trucks live on the Truck Booking System out of a 900-truck fleet.

trucksmax 900 · base 315
= 35% TBS coverage

Additional / temporary silo storage ahead of the maize season.

MTmax 60,000 · base 0
+0% effective storage headroom

Projected outcomes

Q3 baseline vs your scenario

Overtime hoursRed
17,874hrs0
Baseline 17,874hrs
On-time arrivalsRed
2%0
Baseline 2%
On-time departuresRed
20%0
Baseline 20%
Dispatched tonnageRed
299,606MT0
Baseline 299,606MT
Gate congestion indexRed
1000
Baseline 100

Vessel on-time performance under this scenario