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Dr Peter Matthews' Outputs (6)

Verification of Event Impact Levels for an Agile Design Framework (2005)
Presentation / Conference Contribution
Lomas, C., Matthews, P., Armoutis, N., & Maropoulos, P. (2005, December). Verification of Event Impact Levels for an Agile Design Framework. Presented at Proceedings of the 2nd International Conference on Manufacture Engineering, Kalithea

An Agile Digital Enterprise Technology Cost Engineering Tool (2005)
Presentation / Conference Contribution
Baguley, P., Qaqish, T., Matthews, P., & Maropoulos, P. (2005, December). An Agile Digital Enterprise Technology Cost Engineering Tool. Presented at International Conference on Agile Manufacturing, Helsinki

Partner Profiling to Support Agile Design (2005)
Presentation / Conference Contribution
Armoutis, N., Matthews, P., Lomas, C., & Maropoulos, P. (2005, December). Partner Profiling to Support Agile Design. Presented at First International Conference on Changeable, Agile, Reconfigurable and Virtual Production, Munich

Foundations of an Agile Design Methodology (2005)
Presentation / Conference Contribution
Matthews, P., Lomas, C., Armoutis, N., & Maropoulos, P. (2005, December). Foundations of an Agile Design Methodology. Presented at International Conference on Agile Manufacturing, Helsinki

Development of a simple information pump (2005)
Presentation / Conference Contribution
Matthews, P., Keegan, J., & Robson, J. (2005, August). Development of a simple information pump. Presented at 15th International Conference on Engineering Design, Melbourne, Australia

The Information Pump (IP) is a methodology that aims to counter the problems arising from traditional subjective product data collection. The IP is a game theory based process that aims to maximise information extracted from a panel of subjects, whil... Read More about Development of a simple information pump.

Machine learning stochastic design models (2005)
Presentation / Conference Contribution
Matthews, P. (2005, August). Machine learning stochastic design models. Presented at 15th International Conference on Engineering Design, Melbourne, Australia

Due to the fluid nature of the early stages of the design process, it is difficult to obtain deterministic product design evaluations. This is primarily due to the flexibility of the design at this stage, namely that there can be multiple interpretat... Read More about Machine learning stochastic design models.