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Cities & RegionInfrastructureRailways & Water PlantAging Infrastructure InvestmentAsset Management PracticesPredictive Maintenance ROI

SIAAP - Water

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

1
Metropolis
100 %
Predictive
1
Platform

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.

Our Solution

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

Solution illustration

What Oxand delivered

  • Asset modeling and projection of their condition over time

  • Objectification of investment needs and definition of an associated renovation roadmap

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

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