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All case studies
IndustrieTemps réelIoT

Yield Management SMTD

A yield management system and real-time dashboard to steer the performance of an industrial machine fleet.

ClientSMTD

Screenshot of the SMTD website

+0%

Productivity

Temps réel

Monitoring

0+

Connected machines

24/7

Uptime

The client

A manufacturer flying blind

SMTD runs a fleet of industrial machines whose performance directly drives profitability. Every hour of unanticipated downtime is an hour of lost production.

Before the project, performance was observed after the fact, on consolidated reports. Adjustment decisions therefore always lagged the events that caused them.

The challenge

Making machines talk that never had

The fleet mixes machines of different ages and manufacturers, with heterogeneous protocols. Querying them consistently meant normalising signals that had nothing in common.

There was also a frequency constraint: a production indicator is only worth having if it is available during the shift, not the next morning.

The solution

A collection layer, then real-time steering

We built a collection layer that normalises machine signals, then a dashboard that reports performance continuously and surfaces deviations as they happen.

01

Normalised fleet collection

Machines are queried through an abstraction layer that unifies heterogeneous protocols, so adding equipment does not mean rethinking the chain.

02

Real-time dashboard

Performance is reported continuously during the shift, with deviations highlighted. Adjustments are decided on live data rather than yesterday’s report.

03

Per-machine yield indicators

Yield is computed machine by machine, which identifies the genuinely limiting equipment instead of reasoning on a workshop average.

04

History and analysis

Readings are retained to compare periods and evidence gains, beyond instantaneous supervision alone.

Tech stack

The technologies we chose

A Node.js collection layer to query and normalise the fleet, a React interface for real-time reporting, and a historised store for trend analysis.

Node.js

React

IoT

API REST

The outcome

Steering that gets ahead of incidents

Performance is now steered during production rather than after it. Indicators are continuously available across the connected fleet.

MPWB

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