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Michelin

Michelin optimizes its energy performance with AVEVA PI System

Michelin, a global mobility leader and renowned tire manufacturer, aims to achieve carbon neutrality by 2050 by transforming its operations to improve energy efficiency. However, the group needed to make consumption tracking accessible to all employees, standardize data from many heterogeneous sources and process considerable volumes of information from its sites worldwide. A long-time user of AVEVA PI System, Michelin deployed the solution to read, standardize and contextualize energy consumption data from the different stages of the production process, making it available to everyone according to a common framework. The benefits speak for themselves: data from 15 production sites worldwide is now consolidated, savings of up to 10% were achieved in the first few months by optimizing process parameters, and sharing best practices between plants has reduced energy consumption by up to 16% company-wide.

Objectives

  • Make the monitoring of energy consumption accessible to all employees of the company
  • Standardize and contextualize energy data from heterogeneous sources according to a common reference system
  • Process and consolidate massive volumes of information from global production sites
  • Support the 2050 carbon neutrality goal by optimizing process parameters and sharing best practices between plants

Solutions

  • AVEVA PI System

Results

  • Data collected and standardized from 15 production sites around the world
  • Saved up to 10% in the first few months thanks to the optimization of process parameters
  • Sharing best practices across factories around the world has reduced energy consumption by up to 16%

Testimonials

"Our people, both on the shop floor and in the central teams, can deeply understand, analyze, compare, compare, and then find best practices and share them around the world. And by sharing these best practices, we save 3% to 16% in energy consumption."
Nicolas Auger
Product Manager, Michelin

FAQ

How does AVEVA PI System support Michelin's Net Zero 2050 goal?
AVEVA PI System gives Michelin the visibility it needs to transform its operations toward energy efficiency. The platform reads, standardizes and contextualizes energy consumption data from every stage of production. Employees access comparable indicators across sites, making decarbonization efforts measurable and manageable. Without this reliable data foundation, the Net Zero 2050 goal would remain a slogan rather than an operational trajectory tracked day to day.
Why standardize energy data across 15 production sites worldwide?
Without standardization, comparing energy consumption from one plant to another is impossible: different units, inconsistent granularity and site-specific contextualization. Michelin deployed AVEVA PI System to apply a common framework across its 15 production sites worldwide. This harmonization makes it possible to identify the best-performing plants, understand their levers and spread their best practices. It is this sharing between sites that delivered up to a 16% reduction in energy consumption.
How can energy data be made accessible to all employees?
Energy efficiency cannot be the business of a few isolated experts. Michelin chose to make AVEVA PI System data accessible to all its employees through simplified interfaces and a common framework. This democratization is transforming the internal culture: every operator, engineer or manager can track the impact of their decisions on consumption. It is an essential lever for collective engagement in reaching ambitious sustainability goals across a global group.
What financial benefits can be expected from a data-driven energy optimization project?
Michelin achieved up to 10% savings within the first months of deploying AVEVA PI System by optimizing process parameters. Across a global industrial group, these savings represent millions of euros every year without major hardware investment: it is mainly about making smart use of data that already exists. The ROI is very fast and lasting, and it grows as best practices are shared across the group's sites.
How can AVEVA help share best practices between plants worldwide?
AVEVA PI System gives Michelin a comparable framework across sites, making it possible to objectively identify the best-performing plants on any given energy criterion. Teams at less efficient sites can then study the process parameters of the benchmark sites and adapt them to their local context. This internal benchmarking mechanism delivered up to a 16% reduction in energy consumption company-wide, demonstrating the power of a unified data platform.