Predictive Maintenance: A Lever for Sustainable Industry

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Industry faces a dual challenge: improving productivity while reducing environmental impact. To meet these challenges, companies are adopting advanced technological solutions such as predictive maintenance, which optimizes equipment utilization and limits the waste of resources. By extending machine life and reducing energy consumption, this approach is fully in line with sustainable industry.

Sustainable industry: a major challenge for companies

Faced with increasingly stringent environmental regulations and the need to limit their carbon footprint, manufacturers are looking to modernize their processes. Sustainable industry relies on optimizing resources and integrating new technologies to reduce waste and energy consumption.

Industry accounts for 24% of global CO2 emissions, making it a key sector for the ecological transition.
According to a McKinsey study, 74% of industrial leaders consider sustainability to be a major strategic issue.
Energy efficiency in industry could reduce CO2 emissions by 30% by 2040, according to the International Energy Agency.

 

Predictive maintenance plays a key role in this transition by enabling:

✔ A reduction in industrial waste, thanks to the anticipation of breakdowns and better management of repairs.
✔ A reduction in energy consumption, by avoiding overconsumption due to malfunctions.
✔ An increase in equipment lifespan, reducing the need to produce and purchase new machines.

illustration d'une industrie durable : des plantes dans une usine

Predictive Maintenance: A Pillar of Eco-Responsible Industry

Unlike traditional corrective or preventive maintenance approaches, predictive maintenance relies on real-time analysis of machine data to anticipate failures. This approach enables us to intervene at the right time, thus avoiding unnecessary repairs or breakdowns with serious consequences.

Figures that illustrate its effectiveness:

  • 20% reduction in scrap due to production faults.
  • 30% increase in component life, reducing the need for new parts.
  • 40% improvement in machine availability, enabling more efficient use of equipment.

By adopting predictive maintenance, companies are taking a proactive approach to responsible resource management.

Intelligent Machine Monitoring to Reduce Environmental Footprint

Predictive maintenance solutions such as Lesly enable continuous monitoring of equipment status and optimization of its operation. Thanks to real-time data analysis (vibrations, temperature, pressure, etc.), it is possible to detect the first signs of wear and tear before a breakdown occurs.

The benefits of intelligent machine monitoring:

✔ Fewer unplanned machine stoppages, reducing the energy overconsumption associated with restarts.
✔ Optimization of maintenance cycles, limiting excessive use of spare parts.
✔ Fewer emergency interventions, reducing the carbon footprint of transport and maintenance logistics.

illustration d'une industrie durable : dun homme réalise de la maintenance pour réduire son empreinte Carbonne depuis un balcon

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Better equipment management

A sustainable industry is based on the principles of a circular economy, in which every resource is optimally utilized. Predictive maintenance optimizes machine life by identifying the exact moment when a part needs to be replaced. Here are the benefits:

  • Less waste: only really worn components are replaced.
  • Reduced carbon footprint: less manufacturing and transportation of spare parts.
  • A positive financial impact: better-targeted investments, promoting a more competitive, greener industry.

Lesly: Technology for Sustainable Industry

To support manufacturers in their transition to more eco-responsible production, Dianalyse has developed Lesly, an advanced monitoring software for industrial equipment.

Lesly’s advantages for sustainable development:

✔ Centralized monitoring: a single software package to analyze all machines in a network.
✔ Machine learning: intelligent identification of anomalies to prevent breakdowns.
✔ Performance optimization: reducing energy consumption and limiting scrap.
✔ Simplified deployment: an adaptable solution that’s easy to integrate into industrial processes.

Predictive Maintenance, an Asset for a Greener Industry

The transition to sustainable industry relies on optimizing resources and reducing waste. With solutions like Lesly, it is possible to reconcile industrial efficiency with environmental commitment, making predictive maintenance an essential lever for the future of industry.

Switch to a more sustainable industry today with Lesly!

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