The profitability of new products is often constrained by limited exploration and evaluation of the design space. It is very common in manufacturing organizations to build new products using the same or similar technology as the previous versions of the product. This means that the organization is not making the best use of new technology or components that could potentially improve their products and/or profitability.

We will explore an approach that considers the business alongside the technical aspects when considering the optimum design solution. It demonstrates an objective approach to evaluation and selection of complex physical architectures, i.e. doing a Trade Study, leveraging the key capabilities of model driven systems development with SysML.

Core to the approach is the identification and definition of critical assessment data for the product(s) under consideration, some of which are focused on business issues like cost and risk. Various means of realizing the product architecture are proposed with the combined effects of the various components evaluated against the assessment data for the product. These results provide the basis for the selection of the optimal architecture. This presentation explores cross-discipline trade studies with an example involving the selection of mechanical, electrical and hardware/software components for a multi-axis robot.

The means of evaluating these architectures is an extension of the approach described in “Smarter system development: a systems engineering trade study to support green initiatives with model-driven development”.

Key takeaways:
Participants in this webcast will gain a solid appreciation and understanding of the use of a model based approach for conducting Trade Studies to support the building of smart products. In particular the participant will learn:

  • How a Model Driven Systems Development approach can be used to capture the cross-disciplinary aspects of a product including those from business and technical domains.
  • How an objective rationale for the selection of components for complex products can be derived using MDSD
  • The potential engineering cost savings that can be achieved by carrying out Trade studies leveraging a model-based approach

Adrian Whitfield
Senior Marketing Manger, Systems Engineering & Aerospace and Defense Industry, IBM Rational Software

Adrian Whitfield received an honors degree in Electrical and Electronic Engineering at Brunel University in 1990. He spent 5 years working in Systems Engineering at G.E.C Marconi Radar before joining Telelogic (formerly I-Logix Inc.) as a Technical Consultant. During his time as a technical consultant he has delivered consulting, mentoring and training to a number of Aeropspace/Defense companies including long term engagements with Boeing and Jet Propulsion Laboratory. Currently he is the Market Manager with IBM Rational, formerly Telelogic, where he is manages how the Rational modeling product portfolio can be best used within the System Engineering domain and Aerospace & Defense industry.

Graham Bleakley
Principal Consultant-Systems Engineering and Architectural Frameworks, IBM Rational Software

Graham Bleakley originally studied Mechanical Engineering at Southbank University, this was followed by a PhD in Model Based Systems Engineering and Process for Safety Critical Systems at City University. After going back to Southbank University for 2 years to run and teach the Computer Aided Engineering degree, he left and joined I-Logix in 2000, working as an Application Engineer/Consul