Show how Michelin can leverage a digital asset performance tool to optimize risk, planning, and lifecycle costs across its industrial, logistics, and tertiary sites.
Context
Michelin aims to demonstrate the benefits of a tool for evaluating asset performance and simulating infrastructure asset management scenarios to optimize risk control, planning, and long-term asset management costs.
Our client’s asset portfolio includes a 42-hectare industrial site, a 140,000 m² logistics site, and three tertiary buildings totaling 20,000 m².
In Figure
42 ha
Industrial
140 k m²
Logistics
20 k m²
Tertiary
What did we do?
Data collection and asset modeling in Oxand Simeo by Oxand teams
Adoption of Oxand Simeo by our client’s teams to assess the benefits, adjust the configuration, and prepare for deployment
Gains
Structure and formalize asset knowledge
Ensure asset maintenance at the appropriate level in relation to expected service levels, associated risks, and regulatory requirements
Reduce asset management expenses (by approximately 15% per year) and provide visibility at all technical and financial levels to prioritize operations