Industry 4.0: Toward the Digital Transformation of Our Industries

The digital transformation of our industries is a powerful driver of growth. Indeed, the use of digital tools makes it possible, among other things, to optimize facilities and anticipate constraints and events. Positioning ourselves as ambassadors for Industry 4.0 allows us to benefit from both human and technological solutions to industrial challenges.

Industry 4.0 is based on three fundamental pillars

- Improving Operational Performance
- Anticipating High-Risk Events
- Optimizing Energy and Environmental Performance

Optimizing and Planning Ahead for Our Processes

The installation of sensors and controllers enables real-time monitoring, automation, and reporting. In fact, analyzing this vast amount of raw data allows us to optimize and anticipate our processes. As part of the objectives of Industry 4.0, unifying these information systems on a supervision or hypervision interface improves performance and has a cross-functional impact on all stakeholders. The implementation of robotic and cobotic systems enables employees to increase productivity and make production processes more reliable.

Furthermore, Industry 4.0 also addresses the challenges of anticipating and continuously improving production lines. The implementation of algorithmic and intelligent models enables the analysis and interpretation of raw data generated by facilities and systems. This real-time analysis allows for the anticipation and prediction of future constraints, as well as the simulation of potentially risky events.

The use of intelligent models also enables companies to leverage energy performance management as a driver of growth. This growth lever, unique to Industry 4.0, allows any company to control its costs and performance. In the face of environmental challenges, the decarbonization of our industries is taking place at every level.

Equans' Industry 4.0 Solutions

Manufacturing Execution System (MES)

This monitoring tool enables manufacturers to optimize their industrial processes in real time by increasing productivity, traceability, and product quality to better meet demand.

Improve production monitoring
Increase production performance
Make it easier for operators to work at the machine

Custom Hypervision

The Hypervision tool unifies multi-site and multi-business-unit information systems to provide decision support based on the generated reports. It also enables the integration and communication of subsystems within a production unit while breaking down data silos.

Monitor activity across multiple workshops or sites
Benchmark fleet activity
Compare and monitor fleet performance

Digital Twin

The digital twin makes it possible to leverage manufacturers’ raw data to boost the operational performance of their facilities and simulate future constraints through the implementation of algorithmic models.

Simulate the implementation of a production line
Simulate risk events
Improve energy efficiency
Train operational teams in adjustment and maintenance

Artificial Intelligence

Algorithmic models are capable of analyzing, recognizing, and solving problems much faster than the human brain. In fact, training these models on large volumes of data makes it possible, among other things, to interpret and anticipate uncertainties (e.g., big data). Implementing these models allows us to:

Identify influencing factors
Predict situations and behaviors
Detect defects and deviations
Optimize operational resources

Automation

Industrial automation is a key priority for many companies. Indeed, it enables industrial sites to improve their economic and environmental performance. Designing customized solutions helps optimize:

Production
Safety
Site compliance

Learn more about automation

Robotics

The integration of robotics makes it possible to rethink and adapt the industrial environment. The goal is to enable seamless collaboration that serves and enhances the comfort of the men and women who work here—our employees.