Discrete Event Simulation

Container Terminal Simulation

Quay, yard and gate modelled as one system, not three.

Terminal throughput is decided at the handover points · STS crane to internal transfer vehicle, vehicle to RTG, RTG to road truck, truck to gate. We model quay, yard and gate together in FlexSim so a crane purchase, a yard re-block or a gate redesign is tested against vessel turnaround before the capital is committed.

25 marquee operators · 21 countries · verified roster
Bayer · Pfizer · TATA · Adani · JSW · ISRO · Siemens · Bosch · DuPont · Mahindra · Hindalco · and others
Bayer
Pfizer
TATA
Adani
JSW
Nestle
ISRO
Mahindra
Siemens
Bosch
DuPont
Aditya Birla
Hindalco
Amazon
Indian Oil
ITC
Asian Paints
Dr. Reddy
Kia
Bureau Veritas
Lloyd
Halliburton
Jindal Steel
AMNS
Rolls Royce
Bayer
Pfizer
TATA
Adani
JSW
Nestle
ISRO
Mahindra
Siemens
Bosch
DuPont
Aditya Birla
Hindalco
Amazon
Indian Oil
ITC
Asian Paints
Dr. Reddy
Kia
Bureau Veritas
Lloyd
Halliburton
Jindal Steel
AMNS
Rolls Royce
Why this matters

Why terminal capacity is set at the handover points, not the crane

Terminals are usually specified on crane moves per hour, and then fail to achieve them. The reason is that a quay crane only performs when a vehicle is under it, and a yard crane only performs when a slot is reachable. Capacity is lost in the handovers: internal transfer vehicles cycling between quay and an over-full block, RTGs re-handling because the stacking rule put the wrong box on top, road trucks queueing at the gate because appointment windows and yard availability were planned separately. Modelling the three subsystems in isolation gives three optimistic answers that do not add up. Modelling them together gives the vessel turnaround number the shipping line will actually hold you to.

Method

How we deliver Container Terminal Simulation

CEng MIE India-signed deliverables · LiDAR-powered where applicable · digital twin handover ready · routes to the Discrete Event Simulation practice lead within 24 hours.

01

Terminal configuration and volume profile

Berth and quay layout, crane population and characteristics, yard blocks and stacking rules, gate lanes and appointment system loaded. Volume profile built from your TOS data · vessel calls, exchange sizes, dwell time distribution and modal split.

02

Quay-side modelling

STS cranes modelled with real move rates by operation type, twin-lift and tandem capability where fitted, and the sequencing rules the planners actually use. Internal transfer vehicle fleet modelled against quay demand.

03

Yard and gate modelling

RTG or RMG routing, gantry and travel times, block occupancy and re-handle probability under your stacking rule. Gate modelled with lane count, appointment adherence and processing time distribution, since gate queueing feeds back into yard congestion.

04

Scenario testing

Additional cranes, revised stacking strategy, yard re-blocking, extra gate lanes, appointment window changes and automation options run as scenarios. Reported as vessel turnaround, crane productivity, truck turn time and yard utilisation together.

05

Decision pack and handover

Animated model, scenario comparison and a recommendation showing which constraint moves first and what the next constraint becomes. Model handed over for your planning team to re-run as volumes grow.

Standards + compliance

Built to the standards your auditors quote

Reports reference the international and national standards your regulators, F500 audit teams, and corporate process safety leads cite. Every deliverable signed by a Chartered Engineer (CEng MIE India).

Anonymous case anchors

What this looks like in production

Three landmark engagements from our verified roster · quantified outcomes, no client names disclosed without written permission.

Container terminal, South East Asia · crane business case

A fourth STS crane was proposed to lift berth productivity. Model showed the internal transfer fleet, not crane count, was the binding constraint · the fourth crane would have idled. Fleet and dispatch rule revised instead.

Multipurpose port, India · gate congestion

Gate queue modelled against yard availability. Extending appointment windows outperformed adding two lanes, at no capital cost, and reduced peak truck turn time materially.

Bulk and container terminal · yard re-block

Stacking rule change tested before implementation. Re-handle rate reduction held under a 20 per cent volume increase, which the manual analysis had not accounted for.

Frequently asked

Container Terminal Simulation · the practical questions

Do you need our TOS data?
It is the best starting point · vessel calls, exchange size, dwell and modal split. Where a TOS export is not available we build the volume profile from berth records and gate logs.
Can you model automation before we commit to it?
That is one of the strongest uses of the model. Automated stacking cranes and AGVs change the failure modes, not just the speeds, and those are what the business case usually misses.
Do you model the gate as well as the yard?
Yes, and separating them is the common mistake. Gate queueing and yard congestion feed each other, so a gate-only fix often just moves the queue inside the fence.
What output do we get for a capital submission?
Vessel turnaround, crane productivity, truck turn time and yard utilisation for each scenario, with the constraint sequence shown · which limit moves first and what becomes binding after it.
How long does a terminal study take?
Typically six to ten weeks depending on how much configuration and volume data is available at the start, and whether automation scenarios are in scope.

Scope your Container Terminal Simulation engagement.

Tell us your plant, region, and scope · a named Chartered Engineer responds within 24 hours.

  • 4 fields. No phone interview to start.
  • Per-discipline routing to the Discrete Event Simulation practice lead.
  • Anonymous case anchors sent with first reply.
  • Same-day callback for deadline-driven enquiries.

Simulation / Evaluation Scoping

FlexSim · decision-grade ROI evaluation.