Collaborative Systems Engineering SolutionMASTERING COMPLEX MULTI-DISCIPLINE SYSTEMS DEVELOPMENT PROCESS

The solution enables:• Collaborative model based systems

engineering to streamline multi-discipline system design

• Integrated traceability from customer needs identifi cation to right-to-market product delivery

• Impact analysis of market changes on system defi nition to improve business decisions

• Early specifi cations validation through multi-engineering system behavior simulation

HIGH-TECH INDUSTRYKNOWLEDGE • PROCESS • VALUE

INCREASING SYSTEMS COMPLEXITY The growing complexity of product design, functional coupling complexity, processing power increase, product miniaturization, digital convergence and environmental constraints are challenging companies. The need today is to shift from a product development process to systems engineering process approach, system level architecting, behavior modeling and simulation, and product virtualization. To address these challenges, companies must master a systems development process that ensures traceability from needs identifi cation to fi nal product verifi cation and right-to-market delivery. A strategy is needed to help all engineering disciplines in the organization effectively contribute to a complete, end-to-end systems development process.

Collaborative Systems Engineering Solution Overview The Collaborative Systems Engineering solution helps engineers to formalize, share and manage a unifi ed, cross-discipline systems development process. It allows High-Tech companies to capture customer needs and technical requirements with complete traceability across product defi nition, functional, logical, physical and test aspects. Companies can meet market requirements and improve product performance, thanks to dynamic modeling and simulation where scenarios can be evaluated taking into account not only the behavior of real-time components but also the behavior of physical components and the interacting environment.

Master the collaborative multi-discipline systems development process Dassault Systèmes’ Product Lifecycle Management (PLM) system enables all product development efforts to be centralized on a single, unifi ed product defi nition so that engineers from various disciplines are brought together on a common development platform, fostering collaboration and innovation. This capability brings many advantages such as end-to-end process optimization, cross-discipline systems modeling and analysis, as well as systems-level confi guration management. Changes to design or confi guration can be rapidly communicated to related stakeholders, engineering disciplines and suppliers.

Integrated traceability for right-to-market product delivery process At the heart of the Collaborative Systems Engineering solution, systems are defi ned across coherent views from needs identifi cation to fi nal

The Collaborative Systems Engineering solution includes:• Requirement management• Functional analysis• Logical architecture design• Systems modeling and simulation• Integration, verifi cation and validation• Systems analysis and defi nition control

validation: the Requirement & Test, Functional, Logical and Physical views (RFLP). Adhering to the systems engineering process as defi ned by the International Council on Systems Engineering (INCOSE), the solution enables engineers to capture and analyze requirements coming from customers or stakeholders, derive a set of technical requirements and test plans, establish the systems architecture, model the systems, and fi nally, simulate the systems’ behavior.

Analyze impact of market changes to improve business decisions Since the majority of product costing is committed when a company establishes the product requirements, optimizing the systems functions and architecture early in the development cycle provides clear competitive advantages. By employing a holistic approach using the RFLP process, High-Tech companies can take into account all business and technical aspects that infl uence the systems defi nition.

Early specifi cations validation through system behavior simulation The complexity of a system is linked mainly to its composition of heterogeneous multidisciplinary elements and their interrelations. These properties make an exhaustive analysis impossible or ineffi cient. Systems engineers fi nd the open Modelica language a great enabler for hybrid, continuous (physics) and discrete (control) behavior systems modeling. Modelica allows systems engineers to predict the behavior of complex systems and validate alternatives specifi cations, taking into account components behaviors and the interacting environment. The work is conducted in the early stages of the product lifecycle, when main engineering decisions are made. Therefore, High-Tech and electronic systems engineers are able to produce innovative designs more quickly, with reduced costly late-cycle issues and changes.

HIGH-TECH INDUSTRYKNOWLEDGE • PROCESS • VALUE

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