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Simulate before you build, scale before you invest

SANLAB digital twins let you test factory layouts, logistics flows, and capacity scenarios — before a single riyal is spent.

30-min discovery · no commitment · response within 24h

Simulate before you build, scale before you invest

Decisions based on assumptions cost millions

Most manufacturing and logistics investments are approved on spreadsheets and gut feeling. A 5% error in throughput estimation can mean months of lost revenue. SANLAB replaces assumptions with simulation — and TDM X is the partner that builds, validates, and operationalizes your digital twin.

Why TDM X

We don't sell software. We deliver outcomes.

Technology delivery arm of TDM group. SANLAB certified partner. Saudi Arabia & EMEA.

20+ Simulation projects delivered
3–6 weeks Model build time
95%+ Model accuracy vs. reality
10× ROI on simulation investment

One platform, infinite scenarios

Factory Layout

Test production line configurations, machine placement, and material flow before physical changes.

Logistics & Warehousing

Simulate warehouse operations, picking strategies, and AGV routing for optimal throughput.

Capacity Planning

Model demand scenarios and identify bottlenecks before they impact delivery commitments.

Robotics & Automation

Virtual commissioning of robotic cells — test cycle times and collision detection digitally.

Supply Chain Flows

End-to-end supply chain simulation from supplier to customer, including buffer sizing.

What-If Analysis

Run hundreds of scenarios in hours — shift patterns, demand spikes, equipment failures.

Before TDM X

Guesswork. Overspend. Risk.

Facility investments based on spreadsheets
Bottlenecks discovered after go-live
No way to test layout changes safely
Capacity decisions rely on gut feeling
Months of trial-and-error optimization
After TDM X + SANLAB

Validated. Optimized. De-risked.

Every investment backed by simulation data
Bottlenecks identified and resolved digitally
Layout changes tested in minutes, not months
Capacity planned with statistical confidence
Optimized from day one of physical operations
How we deliver

From data to digital twin in four phases

Every TDM X simulation engagement follows a structured methodology that ensures model accuracy and actionable results.

01

Data & Scope

Collect layout data, process times, resource constraints, and define simulation objectives.

1–2 weeks
02

Model Build

Construct the digital twin with validated logic, animations, and input/output dashboards.

2–4 weeks
03

Experiment & Optimize

Run scenarios, identify bottlenecks, test alternatives, and quantify improvements.

1–2 weeks
04

Deliver & Transfer

Present findings, hand over the model, and train your team to run future scenarios.

1 week
In their words
“The simulation showed us that our planned layout would create a 30% bottleneck at packing. We redesigned before breaking ground and saved four months of rework.”
VP of Operations Logistics company · Jeddah · KSA enterprise
Measurable impact

Numbers, not promises

30%

Throughput improvement

Faster layout decisions

95%+

Model accuracy

€2M+

Avg. savings per project

Common questions

What enterprises ask before they commit

How accurate are the simulations?

SANLAB models typically achieve 95%+ accuracy against real-world measurements. We validate every model against historical data before running scenarios.

What data do you need from us?

Layout drawings (CAD or floor plans), process times, shift schedules, and throughput targets. We guide you through data collection — most clients have 80% of what's needed already.

Can we reuse the model after the project?

Absolutely. We hand over the full model with documentation and train your team to modify inputs and run new scenarios independently.

How long until we see results?

First actionable insights typically emerge within 3–4 weeks. Full model with optimization recommendations delivered in 5–8 weeks.

Is this only for new facilities?

No. Most projects are for existing operations — optimizing layouts, testing automation scenarios, or planning expansions before committing capital.

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