Digital and connected industry

Audit and Diagnosis

The transition to a digital industry is guided by a deployment roadmap aligned with your future challenges. Integrating digital solutions requires prior actions: analysis of current processes and procedures, assessment of the company's digital maturity, understanding of your organizational model. Sogeclair supports you in defining your project and in how to deploy it while ensuring change management.

Optimization of Flow Management and Supply Chain

Mastering flows and ensuring the robustness of the supply chain are essential to secure and stabilize the industrial system. Recognizing this, Sogeclair and its partners provide expertise in this area to build the most efficient model.

Knowledge and Expertise Capitalization

One of the keys to continue innovating and growing is to leverage the expertise and know-how acquired over several years. It is evident that this valuable resource is often underutilized or even never formalized. To make this knowledge available, Sogeclair has developed a method to collect all expertise from business and information systems referents and integrate them into our knowledge capitalization tool. This application makes all this information available to project and production teams.

Control and Supervision Applications

To make the right decisions and anticipate all production hazards, Sogeclair develops and deploys visualization and control applications for the various entities within a company. These solutions extract source data from existing IT systems, formalize them, and make them available to each stakeholder according to their role. Each individual has access to their own indicators necessary for managing their activity.

Data Intelligence and AI

Sogeclair develops additional custom applications leveraging multiple existing databases within the company. After undergoing post-processing, these data are integrated into artificial intelligence models enabling more detailed analysis, solution proposals, or predictions.

Predictive Maintenance

Machine breakdowns are a significant disruption to production. To prevent corrective maintenance operations, it is essential to implement predictive maintenance solutions. Sogeclair develops applications of this kind, enabling real-time monitoring of equipment deviations to schedule maintenance operations during non-production hours.

The digital twin developed by Sogeclair in partnership with Dassault Systèmes is a collaborative tool, customized for each of our users. By integrating data from various IT systems and modeling processes and procedures, this digital twin incorporates specific functionalities for each industrial player to address their own challenges and issues.

These functionalities enable the simulation of various operations and behaviors of the production system by varying different parameters. Thus, the industrial player has a tool to design or adapt their production system in anticipation of various contingencies. Several functionalities have been developed to address different use cases: layout validation, flow simulation, work sequences, ergonomics, energy consumption, etc.

The digital twin integrates all data, models, and functionalities on a single collaborative platform, accessible to all stakeholders, ensuring data sharing based on a common repository and interoperability. Sogeclair develops and deploys your digital twin and provides training for the teams.