Designing New Industrial Facilities

We support industrial players in shaping and executing their transformation — from multi-stakeholder strategic vision to robust, future-proof assets.

Rely on us to find the right industrial architectures for your new or transforming industrial systems — with a systemic approach that finds the right balance between business goals, technical feasibility, and long-term scalability.

Designing a new industrial system is a critical business decision. Our role is to help you derisking these strategic investments by providing an holistic analysis of your future industrial operations and finding viable, high level design options in time sensitive context, before you need to order costly equipment and launch complex analyses.

We combine model-based systems engineering, systemic modeling, data intelligence, and scenario-based simulation and collaborative techniques to:​

  • Evaluate and compare different design options under realistic operational conditions
  • Quantify the business value and risks of each design choice
  • Ensure performance, robustness and agility in the face of uncertainty
  • Build alignment between business teams, technical experts, and project stakeholders

Our proven methodology enables faster decision-making, better cross-functional collaboration, and long-term operational success.​

Projects Snapshots

Project Snapshots – Automated Warehouse

Feasibility of a fully automated warehouse and storage

Client Need

Our client, a supplier of highly automated warehouse solutions, needed to secure the architectural design of its new innovative warehouses using a new type of intralogistic system, considering performance and resilience requirements, through scenarios featuring seasonal fluctuations and operational uncertainties.​

Our Contribution

We supported the client’s design teams with a dynamic and systemic analysis & modeling of its warehouse industrial architecture. Through simulation of real-world operating scenarios — including traffic trends, equipment failures, and resource constraints — we enabled them to evaluate the true business impacts of each design option.
Our work helped the teams to move from a purely technical view to a holistic business-driven perspective on warehouse performance and & resilience and to find the best industrial architecture with respect to a given customer objective.​

Key Results

  • Built a shared, transversal business vision of warehouse dynamics across all stakeholders (design, sales, and operations).
  • Identified optimal warehouse designs aligned with customer business needs and operational constraints.
  • Enhanced ability to manage seasonality, disruptions, and industrial resource variability.
  • Improved confidence in investment decisions and customer engagement.​

Client Impact

For the first time, we were able to align our technical, operational, and business teams around a shared quantitative understanding of our warehouse solutions — which strongly improved both our design process and our value proposition to customers.

Project Snapshots – Large-Format Parts Factory​

Design of a multi-range manufacturing line

Client Need

A French multinational industrial company in the renewable energy sector needed to rapidly produce the architectural design of a new factory, so they could start ordering machinery, equipment and freeze the building footprint. Key challenges included complex and heterogeneous machining flows, shared resources, strict WIP control, and sizing critical equipment — all under tight time constraints.​
The goal: Quickly evaluate and validate the optimal plant industrial architecture options in order to:​

  • Size fleets of machines, AGVs, and lifting equipment.​
  • Define buffer and storage areas.​
  • Identify bottlenecks and optimize part flow.​
  • Support strategic investment decisions.

Our Contribution

Systemic Intelligence modeled the plant of interest using a model-based systems engineering approach and built a systemic digital twin of the plant using Σ™ and a custom Digital Twin Manager. The proposed solution enabled rapid model generation from user-supplied Excel files and supported both interactive visualization and automated trade-off studies, resulting in the identification of an optimal industrial architecture for the multi-range manufacturing line of our customer.​

Key Results

  • Secured machine utilization and reduced part lead times (30% improvement against non optimized design).​
  • Improved flow stability and WIP control.​
  • Optimized sizing of lifting equipment and buffer zones.​
  • Enabled fast, iterative scenario testing.​

Client Impact

The digital twin allowed us to make confident design choices in record time, reducing investment risks and aligning stakeholders around data-driven decisions.