Process Management Group
Principal Investigator: Professor P John Clarkson
Improving Design Process Performance
Process Management research in the EDC examines how design processes behave, how they can be modelled, managed and re-organised to improve their performance. The theme comprises three complementary areas:
- Design Processes and Systems research in the Cambridge EDC is concerned with how design processes and systems behave, how they can be modelled, managed and controlled. We focus on complex, iterative and multi-disciplinary design conducted in the organisational context.
Our research interests range from theoretical aspects of modelling and simulation through to the application of model-based approaches to improve design practice. The applied research is conducted in close collaboration with industry, mainly through case studies with Rolls-Royce (aerospace).
- Integrated System Design, which is concerned with developing methods to manage the computational design and optimisation of integrated systems such as aero-engines.
A modelling approach, known as Signposting, is being developed to include route selection and process simulation in order to identify the best route through the design process and to optimise resource allocation. This project is working on developing suitable methods to integrate signposting with computational design and optimisation tools, specifically to develop methods to integrate 1D, 2D and 3D aerodynamic design methods for turbomachinery and to explore multi-disciplinary design of aeroengines.
- Communication in Design, which is concerned with helping companies reflect upon communication in their design processes.
Many companies are often less than satisfied with the quality of communication in their organisation, however, they may also find it difficult to articulate their concerns. Communication issues are often mistaken for other problems in processes or blamed on individuals and their performance. The aim of this research is to help companies to reflect on communication in their organisation and to capture the view of individuals regarding the state of communication and future improvement targets. To achieve this a communication audit tool is being developed that can be deployed in industry.
- Dr Nigel Ball
- Seena Nair
- Dr Bahram Hamraz
- Ghadir Siyam
- Jieling Long
- Sara Hajnassiri
- Jakob Maier
- Amanda Goodger
- Daniel Shapiro
- Hilario Xin Chen
- Abraham Audu
Cybernetic perspectives on designing organisations
Understanding the relationship between modelling, information flow and coordination
- Programme for Simulation Innovation
Value in product development
Understanding value in product development
Cambridge Advanced Modeller
Software platform to model linkage systems for design process improvement.
Design planning survey and assessment tool
A survey and assessment tool to understand planning in design.
Engineering Change Processes
Identifying and evaluating processes to implement engineering change alternatives
Design Space Exploration
Giving the designer a tool able to drive the search of feasible solutions in new areas of the design space.
- Change Propagation in Complex Design Workflows
Project Planning and Control
Planning, re-planning and control under uncertainty and iteration.
Re-engineering Concurrent Design
Applying process simulation to improve practice.
Across Design: Comparing Design and Service Processes
Describing design and service processes and identifying their similarities and differences.
Whole Engine Design
Exploring the feasible design space by decoupling design tasks and investigating new design process pathways.
Improving the management of iteration by evaluating its impact on process behaviour
Design Process Robustness
Identifying the determinants of robustness in engineering design processes.
Supporting Product Architecture Design
Making better decisions during early design.
A Communication Audit for Design
Developing a method for the systematic assessment of communication in design.
Evolution of uncertainty during engineering design
Understanding and modelling the role of uncertainty levels in driving the design process.
Providing insight into how uncertainties affect process plannability.
The Design Of Turbine Blade Internal Cooling Systems
Accelerating the design, verification and selection of cooling systems.