How Inopsys improves the stability of its on-site treatment units through data-driven operations

Client: Inopsys

Industry: Chemicals / Industrial liquid stream treatment

Processes covered: On-site treatment units for process effluents

Modules used: Monitoring, predictive models, dashboards, root cause analysis

Context

Inopsys develops and operates mobile and on-site solutions designed to treat liquid streams generated by industrial processes.

Before Indao, operational teams faced limited access to reliable information from remote operations, making it difficult to quickly understand performance levels and detect operational deviations.

Challenge

  • Correctly interpret remotely collected operational data
  • Improve treatment unit stability
  • Strengthen analytical capabilities to optimize operational performance
  • Obtain a consolidated and dynamic overview of each unit’s operating status

Solution

Indao was implemented through a Proof of Concept (POC), followed by a progressive deployment aligned with budget considerations.

The solution includes:

  • customizable dashboards,
  • real-time monitoring,
  • predictive models,
  • root cause analysis tools,
  • a flexible and multi-purpose user interface.

Results

  • Increased number of connected treatment units
  • Improved utilization rate (OEE)
  • Reduced downtime
  • Better interpretation of analytical results
  • Easy creation of dashboards tailored to operational needs
  • Better shared insights with the entire team

Testimonial

“High value delivered for a reasonable cost and effort. Flexible, multi-purpose, and easy to deploy.”

— Kris Van de Walle, Operations Manager, Inopsys

Let’s explore how to reduce energy consumption, stabilise quality and improve availability with advanced analytics (AI as support)