Technical Leader of Business Strategy and Engineering Optimization, Ford Motor Company
Dr. Yan Fu is Technical Leader of Business Strategy and Engineering Optimization, and leads the Strategy and Sustainability Analytics Group at Ford Research and Advanced Engineering Laboratories. Dr. Fu and her team are currently developing sophisticated business analytics, optimization and other decision support tools to support business decisions, vehicle design robustness, fuel economy strategy, and safety initiatives.
Dr. Fu has led the developments and applications of advanced optimization and robust design technologies for vehicle safety design, which enable many of the Ford vehicle programs to achieve awards and meet or exceed requirements mandated by the new Federal Motor Vehicle Safety Standards, simultaneously.
Traditionally, MDO is conducted by a MDO subject matter expert who needs to collect all attribute information and models, integrate them into a large-scale optimization workflow, and solve the multi-objective optimization problem through an engineer-centric desktop solution. This is a time consuming, difficult, and engineer dependent process, which may not reach the full potential of the advanced MDO technologies. In this presentation, we will present a new Enterprise Multi-disciplinary Design Optimization System (EMDO) based on SOMO and tightly integrated with the private clouding computing system.
This new EMDO system is a web-based and mobile-enabled technology, which provides a collaborative and distributed execution platform to manage the complexity of growing demands of large-scale vehicle design projects. It has potential to make significant contributions for cross-attribute program developments in term of weight saving, fuel economy increase, meeting or exceeding multiple attribute requirements, as well as reducing product development time and engineering cost. A large-scale vehicle design case study will be used to demonstrate the capabilities and usefulness of the new EMDO system.