The simulation challenge is evolving from the application based on a single discipline towards the integration btw disciplines, including the need to develop mukltidiscipline and multiobjectives optimization processes.

This means:
- need of better integration btw CAD and CAE environments
- use of mature and robust solvers
- integration tool and environment based on distributed architecture and running on HPC
- use of template for automatizing processes
- integration of parameterization and optimization technique for robust design analysis

Aerospace companies are looking for this new approach for analysis, simulation and prototyping strongly linked to the Life Product Management. which allows the management of the full system inside and outside the company network, including the supply chain.

To achieve it, it is necessary to review the cycle of development of product, changing
methodologies, organization , competence, tools and emphasizing the following elements:
- concurrent engineering
- collaboration
- multidiscipline integration
- virtual and physical prototyping
- knowledge management
- PLM

The goals are evident:
- reduce time to market significantly, including development time
- reduce costs, through intensive use of CAD/CAE modelling and manufacturing engineering
- improve quality, efficiency, customer satisfaction

through the
- increase of the virtual simulation and testing wrt physical one
- standardization and harmonization of processes, multidiscipline integration
- increase of analysis complexity
- knowledge capture and re-use
- increase of efficiency about better use of computational resources
- adoption of an efficient data management
- use of validated model through virtual testing
- integration btw design and manufacturing

A Simulation Data Management supports the decision process related to the product development; it is also the bridge btw the PLM environment, where the company store the certified model and documentation, and the Multidiscipline Approach, which gets model, data and process for simulation purposes.

The SDM capabilities should be:
- data management and traceability
- multidisciplinary process management, through workflows and ability to integrate different
tools (CAD; CAE) both COTS and in-house
- traceability of processes
- monitoring of activities status
- query capabilities
- standardization of report generation
- link to PLM
- knowledge management: ability to recognize, store and share knowledge

The Multidiscipline Approach needs to integrate different disciplines like:
- aerodynamics
- flight mechanics
- propulsion
- acoustic
- loads
- aeroelasticity
- structure and stress analysis
- fatigue analysis
- hydraulics, electric, power system
- etc.

The current presentation shows an example of a proposed scenario for multidiscipline analysis
during the aircraft design and how to achieve a multidiscipline-multiobjective optimization
working in an “enterprise” environment which satisfy the requirements described above