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MiletusDigital Solutions Engineering
Diagnostic
I
Artificial Intelligence
Demand & sales forecasting · Document reading & internal knowledge · Visual quality & predictive maintenance
II
Data
Data warehouse & single definition layer · Management dashboard — the one page read each morning · Real-time data & data APIs
III
Software
Company-specific ERP, CRM, MES · Field, shop-floor and customer interfaces · Process automation and integration
IV
Optimization
Production scheduling & line balancing · Route & fleet optimization · Capacity & production planning
V
Engineering
Bottleneck & loss analysis · Simulation & digital twin · Feasibility & PoC
See all solutions →Areas — what we build on the floor →Sectors — in your industry's language →
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Solutions/fig. V

Engineering

The part that comes before software. We don't try to solve a problem before it is framed correctly: first we measure and model.

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Process & System Analysis

The problem

Where the bottleneck and the loss are is discussed by guess, before the process is mapped.

Seeing where the bottleneck and the loss are from a process map, not a guess.

  • Bottleneck and loss analysis
  • Process mapping and flow analysis
  • Current-state and improvement roadmap

Modeling & Simulation

The problem

Decisions are tried on the live floor; when they go wrong, the cost can't be taken back.

Trying the decision in a model and a scenario before trying it on the floor.

  • Mathematical modelling
  • Simulation and scenario analysis
  • Digital twin

R&D & Problem Solving

The problem

A question with no known answer is attacked before it is framed correctly.

Framing a question with no known answer and reducing it to a measurable step.

  • Feasibility studies
  • Proof-of-concept (PoC) development
  • Design of experiments
Which question it answers

  • Which step is actually slowing the line?

  • Where does the loss happen: downtime, setup or scrap?

  • Can we see what this investment does before trying it on the floor?

  • Is there a solvable version of this problem at all?

A typical first buildÖrnek · Sentetik

At a furniture factory the line is mapped step by step with timed observation. The measurement shows, in numbers, where the queue builds up. The same line is rebuilt as a simulation model, and a second sanding station and a different shift pattern are tried in the model rather than on the floor. The model shows where each scenario moves the bottleneck. The investment decision is then written down on top of that comparison.

Related areas
Production line
What data we start from

  • The step list for the line or the process.

  • A few shifts of timing, downtime and scrap records; hand-kept is fine.

  • A layout drawing, or a sketch on paper.

  • Today's output: units per shift.

Acceptance measure

The acceptance measure is finding the bottleneck with numbers: the constraining step and the wait in front of it are shown from measurement, and a repeat measurement points to the same step.

How it's measured

Not just what is delivered — that it works is proven

The assurance layer is not an add-on sold later; it ships inside every solution. Concreteness comes from mechanism, not numbers.

How we work
Accuracy gate — nothing below the threshold reaches the user
Source citation — no answer is produced without a basis
Regression and monitoring — that it works is tested continuously
Audit trail — which output rests on what is on record