Change Management Group
Principal Investigator: Professor P John Clarkson
Modelling change in products
The Change Management Group researches the impact of change propagation in complex systems made up of components, activities or people. In particular, we are researching how knowledge of change propagation can influence the development of product architectures and design processes:
- by generating a better understanding of the nature of change in complex systems;
- by challenging current management of change practice in product and service design;
- by developing novel and useful design change management tools.
Our research is driven by practice. We are currently working with Rolls-Royce, Airbus, GKN Aerospace, BT, Laing O’Rourke 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 change propagation analysis, known as the Change Prediction Method (CPM), to assist in the management of complex systems. A software tool, the Cambridge Advanced Modeller (CAM), which supports CPM 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 Tariq Masood (Post-doctoral Senior Research Associate on the LoR AMSCI project)
- Dr Timoleon Kipouros (Post-doctoral Research Associate on the TOICA project)
- Dr Mohammad Hassannezhad (Post-doctoral Research Associate on BT and RR projects)
- Seena Nair (Research Associate and Senior Software Developer for CAM)
- Mohamed Hani El Reifi (Research Associate on the LoR AMSCI project)
- Wiktor Piotrowski (Research Assistant on the TOICA project)
- Rabia Abid (Research Assistant on the TOICA project)
- Daniel Shapiro (PhD student researching process change on the RR Siloet project)
- Hatice Olmez (PhD student researching change management on the Honeywell project)
- Jonathan Mak (PhD student researching process management on the BT project)
Change Prediction within the CAM Tool (CPM-in-CAM)
Developing and implementing software to support change prediction using CAM, the EDC's modelling and simulation package.