Process Management Group
Principal Investigator: Professor P John Clarkson
Improving Design Process Performance
The Process Management Group researches the role and nature of process modelling in the successful delivery of new products and services. In particular, we are researching how modelling and analysing the design process can influence the timely introduction and commercial success of a product:
- by leading to a greater understanding of the nature and demands of complex system design;
- by challenging current planning practice and risk management in complex system design;
- by developing novel and useful design process improvement tools.
Our research is driven by practice. We are currently working with Rolls-Royce, Jaguar Land Rover, BT, BP, Laing O’Rourke, Zurich, Siemens and others to deliver on a variety of research topics and to define the priorities for future study.
We have developed a novel approach to design process mapping and analysis, known as Signposting, to assist in the management of complex design processes. A software tool, the Cambridge Advanced Modeller (CAM), which supports Signposting and the use of Dependency Structure Matrices has been developed and is being used in industry. An edited book on Design Process Improvement was published by Springer in 2005.
- Professor P John Clarkson (Group Leader and Principal Investigator)
- Dr Nigel Ball (Post-doctoral Senior Research Associate on the JLR PSi project)
- Dr Tariq Masood (Post-doctoral Senior Research Associate on the LoR AMSCI project)
- Dr Anita Friis Sommer (Post-doctoral Research Associate on the BT and RR Siloet projects)
- Dr Marie-Lise Moullec (Post-doctoral Research Associate on the BT project)
- Seena Nair (Research Associate and Senior Software Developer for CAM)
- Sara Hajnassiri (PhD student researching design thinking)
- Jakob Maier (PhD student researching model granularity on the BT project)
- Amanda Goodger (PhD student researching systems thinking)
- Daniel Shapiro (PhD student researching process change on the RR Siloet project)
- Hilario Xin Chen (PhD student researching resource management on the RR Siloet project)
- Abraham Audu (PhD student researching process analytics on the BP project)
- Jonathan Mak (PhD student researching process management on the BT project)
- Weam Aridi (PhD student researching process management on the JLR PSi project)
Cambridge Advanced Modeller
Software platform to model linkage systems for design process improvement.
Supporting Product Architecture Design
Making better decisions during early design.
Improving the management of iteration by evaluating its impact on process behaviour
Design Space Exploration
Giving the designer a tool able to drive the search of feasible solutions in new areas of the design space.
Engineering Change Processes
Identifying and evaluating processes to implement engineering change alternatives
Design planning survey and assessment tool
A survey and assessment tool to understand planning in design.
Project Planning and Control
Planning, re-planning and control under uncertainty and iteration.
A Communication Audit for Design
Developing a method for the systematic assessment of communication in design.
- Change Propagation in Complex Design Workflows
Evolution of uncertainty during engineering design
Understanding and modelling the role of uncertainty levels in driving the design process.
Value in product development
Understanding value in product development
The Design Of Turbine Blade Internal Cooling Systems
Accelerating the design, verification and selection of cooling systems.
Whole Engine Design
Exploring the feasible design space by decoupling design tasks and investigating new design process pathways.
Design Process Robustness
Identifying the determinants of robustness in engineering design processes.
Providing insight into how uncertainties affect process plannability.
Cybernetic perspectives on designing organisations
Understanding the relationship between modelling, information flow and coordination
Across Design: Comparing Design and Service Processes
Describing design and service processes and identifying their similarities and differences.
Re-engineering Concurrent Design
Applying process simulation to improve practice.