SIAAP - Water

Help SIAAP optimize investments and maintenance by using Oxand Simeo to centralize data, predict aging, and communicate asset condition effectively.

Context

The Interdepartmental Syndicate for Sanitation of the Paris Metropolitan Area aims to optimize its investments and maintenance. The deployment of Oxand Simeo is intended to combine technical insight with predictive methodology in order to optimize operational and investment costs, centralize infrastructure knowledge, and communicate the condition and aging of assets to stakeholders.

In Figure

1

Metropolis

100 %

Predictive

1

Platform

What did we do?

Centralization and validation of data within the Oxand Simeo software
Lifecycle Cost analysis of infrastructures
Simulation of infrastructure condition over time under various maintenance scenarios
Planning of investments and maintenance operations to reduce maintenance backlog

Gains

Lower total cost of ownership

Structuring of data in a centralized repository

Asset modeling and projection of their condition over time

Objectification of investment needs and definition of an associated renovation roadmap

Compliance management


Validation of SIAAP's need for a long-term forward-looking vision for investment budgets