Not just whatwill happen.What to do about it.
Optimisation engines and simulation models that turn forecasts into schedules, routes, layouts and plans, tested before they are deployed.
Why optimisation and simulation matter now
Fleets, crowds, plants and grids are too large to plan by hand. Simulation tests the plan; optimisation finds a better one within real constraints.
Plans are hand-built
Timetables, rosters and routes are built in spreadsheets and rarely re-run.
Peaks are extreme
Hajj, events and holidays push systems far beyond daily averages.
Testing is expensive
Rehearsing a plan on the ground costs time; a model costs minutes.
Constraints are real
Vehicles, staff, bays and safety limits must all hold at once.
The answer: simulate first, optimise within constraints, then operate, the same model re-run every day.
Sources: GASTAT, RCMC and Ministry of Hajj & Umrah, Hajj 1446; GACA 2025; Saudi Aviation Strategy; Matarat Holding; MIM National Industrial Strategy; Future Factories Program
Optimisation & simulation, from forecast to plan
We model your operation, test scenarios, and run solvers that produce schedules, dispatch plans and layouts that respect every constraint.
Simulation
Discrete-event and agent-based models of crowds, fleets, lines and networks.
Optimisation
Vehicle routing, scheduling, rostering, layout and network solvers.
Prescriptive tools
Recommended plans with trade-offs, shown to planners and dispatchers.
Building blocks of an optimisation programme
Six components, the operational model is reused by every solver and scenario.
Operational model
Assets, people, locations, constraints and demand in one structure.
Simulation engine
Discrete-event, agent-based and crowd models with live data feeds.
Solver library
VRP, scheduling, rostering, assignment and network-flow solvers.
Scenario studio
Compare plans on cost, service, risk and compliance.
Planner & dispatcher UI
Recommended plans with reasons, overrides and approvals.
Re-optimisation loop
Plans updated as live data changes, within agreed limits.
How it works: from a forecast to an executed plan
Six stages that can run once a season or every 15 minutes.
Forecast
Demand, arrivals, failures
Model
Resources and constraints
Simulate
Test the current plan
Optimise
Solve for a better plan
Approve
Planner reviews trade-offs
Execute
Dispatch and re-plan live
Where optimisation earns its keep
Eight use cases where a better plan is worth real money every day.
Bus & fleet scheduling
Vehicles, drivers and routes planned for peaks with reserve logic.
Crowd-flow simulation
Gates, corridors and stations tested before the season.
Delivery routing
Daily routes re-optimised for stock, traffic and time windows.
Production scheduling
Lines, changeovers and maintenance windows sequenced for throughput.
Gate & stand assignment
Aircraft, gates and ground resources allocated under disruption.
Grid & pump scheduling
Energy and water assets run at least cost within limits.
Parking & pricing
Capacity, tariffs and guidance tuned to forecast demand.
Workforce rostering
Shifts and skills matched to demand and regulations.
Where it creates value across Saudi sectors
Every sector has a plan that could be better; the model makes it so.
Industry & factories
Production, maintenance and energy schedules on one model.
Airports
Gates, stands, queues and parking under disruption.
Hajj & crowd mobility
Bus rotation, crowd flow and reserve-fleet simulation.
Fleet & logistics
Routes, loads and depot plans re-optimised daily.
Utilities & energy
Pump, generation and crew schedules at least cost.
Retail & FMCG
Replenishment routes and store deliveries by real stock.
Start with one plan that is rebuilt every day by hand, model it, then automate it.
A peak day with a simulated and optimised plan
Illustrative sequence from a mass-transport operator.
rehearsal
The season plan is simulated; two corridors show queue risk, so bays and timings are changed.
optimised dispatch
The solver issues vehicle and driver assignments for the day within rest and safety rules.
disruption
A closure cuts one route; the plan re-optimises and reserve vehicles are called up.
review
Actual versus planned flow is compared; the model is tuned for tomorrow.
Planners approve every plan; the solver does the arithmetic and shows the trade-offs.
Illustrative scenario, not a case study.
Where this technology goes to work
Let us simulate the planyou rebuild every day.Know now.
A 45-minute walkthrough of your operation, and the one workflow worth proving first.