Margaux Systems

Before you buy that machine, model it.

We help operations teams quantify bottlenecks and simulate decisions before committing resources.

Not dashboards. Not generic AI. A model of your system, answering your question.

See how we can help ↓

You should talk to us if…

You're about to make an expensive operational decision.

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Should we buy another machine or add a second shift?
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Which bottlenecks actually limit throughput?
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How much demand can our operation absorb before service collapses?
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Which maintenance outages create the most operational risk?
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Will a new scheduling policy improve delivery performance?

Where to start

Most engagements begin here. It's the fastest way to get clarity on what's actually constraining your operation.

2 weeks · Fixed price

Bottleneck Assessment

We identify the constraints limiting throughput, evaluate improvement scenarios, and quantify expected gains.

You receive

  • Bottleneck identification
  • Quantified scenario comparison
  • Expected throughput impact
  • Recommendation with estimated ROI
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How it works

Every engagement follows the same predictable path.

30 min

Intro call

We discuss your operational challenge, what you've tried, and what you need to decide.

~1 week

Data collection

You share relevant data — routings, demand, schedules, costs. We review and clarify.

1-2 weeks

Model & analyze

We build the model, run scenarios, and quantify trade-offs.

1 day

Report & discuss

You receive a written report with findings and recommendations. We walk through it together.

One operation, two schedules

Same jobs, same machines. Drag the slider to see the difference between an unoptimized schedule and a constraint-based one.

Same jobs, same machines. Drag the slider to see the difference.

No long-term commitment. Each engagement is scoped upfront with a fixed price.

Learn more about the process →

Case Studies

Operational problems, analyzed with models and data to produce clear answers.

Scenario Study (Simulated System)

Movie Production Scheduling: Cutting a Shoot from 179 Days to 65

One actor was the bottleneck. The difference between the best and worst schedule was 114 shooting days and $8.5 million.

Read case study →
Scenario Study (Simulated System)

Capacity Expansion Analysis — Scenario Study

A manufacturing scenario evaluates two capacity investment strategies using constraint-based scheduling and counterfactual analysis.

Read case study →
See all case studies →

What we do and don't do

Specialized is better than generic.

We don't do

  • ERP implementation
  • Dashboard development
  • Generic AI consulting
  • Process mapping workshops
  • Staff augmentation

We do

  • Build decision models
  • Simulate operational changes
  • Quantify bottlenecks
  • Test scenarios before implementation
  • Optimize scheduling and capacity decisions

What this prevents

The difference between modeling and guessing.

Common mistakes we help avoid

  • Adding capacity to a non-bottleneck resource
  • Trusting average utilization to guide investment decisions
  • Deploying priority rules that increase total delay
  • Overlooking downstream effects of maintenance windows
  • Assuming linear degradation under demand growth

What you get instead

  • Quantified bottleneck identification
  • Scenario comparisons with operational and financial KPIs
  • Clear investment recommendations with payback estimates
  • Schedule sensitivity analysis across scenarios
  • A written report designed to be shared with stakeholders

Book a 30-minute decision review

Bring one operational question. If modeling can help, we'll tell you how. If not, we'll tell you that too.

Bring a question like:

"Do we need another machine?"

"Where is our actual bottleneck?"

"Can we absorb 20% more demand?"

"Why are we missing deadlines?"

Book a call →

We respond within 48 hours — usually sooner.