Connect Multi-Discipline Data into a Single Product Definition

In today’s fast-paced market, companies must develop complex, multidisciplinary products faster while controlling quality and costs. Mechanical, electrical and software designs span multiple domains, variants multiply and teams collaborate across geographies, CAD tools and organizational boundaries. Without a unified approach, product structures fragment, design errors surface late and document management becomes overwhelming, increasing rework costs and reducing competitiveness.

The ENOVIA Generative Product Development discipline transforms product development by enabling rapid, cost-effective design and manufacturing on the the 3DEXPERIENCE platform. It connects all designs into a single, holistic product definition allowing teams to manage variants in a single configured structure, streamline digital mockup reviews and maintain continuity from concept through retirement.

3D UNIVERSES Driving AI-Enhanced Product Development

Within the 3D UNIVERSES framework, the ENOVIA Generative Product Development discipline is being enriched with AI-powered virtual companions and generative experiences across collaboration, configuration and product release workflows. AI enhances document management by extracting knowledge from platform documents, providing fast, reliable access to context-driven information and simplifying comprehension of large amounts of content.

In product release, AI ensures engineering definitions are complete and ready before manufacturing and service, accelerating authoring and streamlining the release process. For configuration management, generative product structures embed portfolio logic, sensitivity intelligence and best practices, reducing manual work and minimizing recurring errors.

Key Features and Benefits

Foster Innovation

Drive multi-discipline collaboration by connecting mechanical, electrical, systems and software designs.

Design Cost-Effectively

Design and manufacture products that address evolving consumer preferences without increasing costs.

Manage the Full Lifecycle

Oversee the engineering definition from early concept to final validation and release.

Apply Standardization

Reduce costs and speed time to market through the reuse of previously qualified components.

Integration Across Disciplines

Manage mechanical, electrical and software design within a single, connected product definition to eliminate silos and ensure alignment.

Digital Continuity and Traceability

Maintain accurate, up-to-date product data, documents and configurations linked seamlessly from concept through manufacturing and service.

Core Sub-Disciplines

ENOVIA Generative Product Development discipline are packaged as Roles to get you up to speed faster and work more efficiently with all needed applications available at your fingertips. Select a package that corresponds to your role in an organization.

There are 65 results
Digital Mockup Validation Manager

Validate virtual prototype & Resolve issues faster by enabling formal management of the complete Digital Mockup review process using web browser

Role

External System Data User

Engineering Adapter for X-PDM enables bi-directional data exchange between the 3DEXPERIENCE platform and a non-DS PDM system

Role

Label Coordinator

Eliminate the data silos and streamline label development with connection to the product.

Role

Semiconductor Engineer

Collaborative governance of native and externally managed semiconductor components for improved design reuse, unified governance, and end-to-end traceability.

Role

Semiconductor Hardware Designer

Boost design productivity by increasing collaboration efficiency through global cross-site hierarchical management design data management.

Role

Sustainability in Generative Product Development

ENOVIA Generative Product Development discipline embeds sustainability into every stage of product design on the 3DEXPERIENCE platform, enabling companies to optimize materials, reduce waste and ensure regulatory compliance. By unifying mechanical, electrical and software designs, teams can simulate lifecycle impacts, balance performance, cost and environmental goals and maximize component reuse. With real-time digital twins and AI-powered insights, organizations can generate eco-efficient design alternatives, make data-driven decisions and deliver innovative, resilient and sustainable products faster.

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