Abstract
In the turbulent environment that characterises business today, companies are under constant competitive pressure to develop innovative, high quality products in increasingly shorter timescales. Companies that want to remain competitive are continuously trying to better manage and improve their product development (PD) processes. A key element of PD process management and improvement is to understand and measure PD processes and their outcomes (O'Donnell and Duffy, 2005). These measures traditionally involve an evaluation of both the efficiency of the process - process time and spend - and the effectiveness of the process in terms of the quality of the output e.g. product performance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aas EJ, Klingsheim K, Steen T (1992) Quantifying design quality: A model and design experiments. In: Proceedings of EURO-ASIC’92, Paris, France, pp 172-177
Brookes NJ, Backhouse CJ (1998) Measuring the performance of product introduction. Journal of Engineering Manufacture 212(1): 1-11
Browning TR, Deyst JJ, Eppinger SD, Whitney DE (2002) Adding value in product development by creating information and reducing risk. IEEE Transactions on Engineering Management 49(4): 443-458
Browning TR, Ramaseh RV (2007) A survey of activity network-based process models for managing product development projects. Production and Operations Management 16(2): 217-240
Clarkson PJ, Hamilton JR (2000) ‘Signposting’, a parameter-driven task-based model of the design process. In: Research in Engineering Design 12(1): 18-38
Dori D (2002) Object-process methodology: A holistic systems paradigm. Springer-Verlag, New York, NY, US
Eriksson J, Brannemo A (2009) Decision-focused product development process improvements. In: Proceedings of the 17th International Conference on Engineering Design (ICED’09), Stanford, CA, US
Eversheim W, Roggatz A, Zimmermann H-J, Derichs T (1997) Information management for concurrent engineering. European Journal of Operational Research 100(2): 253-265
Ghisu T, Parks GT, Jarrett JP, Clarkson PJ (2008) Integrated Design Optimisation of Gas Turbine Compression Systems. In: Proceedings of the 4th AIAA Multidisciplinary Design Optimization Specialist Conference, Schaumburg, IL, US
Grebici K, Goh YM, McMahon C (2008a) Uncertainty and risk reduction in engineering design embodiment processes. In: Proceedings of the 10th International Design Conference (DESIGN 2008), Dubrovnik, Croatia, pp 143-156
Grebici K, Wynn DC, Clarkson PJ (2008b) Modelling the relationship between uncertainty levels in design descriptions and design process duration. In: Proceedings of the International Conference on Integrated Design and Manufacturing in Mechanical Engineering (IDMME 2008), Beijing, China
Jarrett J, Clarkson PJ (2002) The surge-stagnate model for complex design. Journal of Engineering Design 13(3): 189-196
Johansson C, Parida V, Larsson AC (2009) How are knowledge and information evaluated? - Decision-making in stage-gate processes. In: Proceedings of the 17th International Conference on Engineering Design (ICED’09), Stanford, CA, US
Johnsson S, Malvius D, Bergendahl MN (2009) Performance evaluation of complex product development. In: Proceedings of the 17th International Conference on Engineering Design (ICED’09), Stanford, CA, US
Kellner MI, Madachy RJ, Raffo DM (1999) Software process simulation modeling: Why? What? How? The Journal of Systems and Software 46(2-3): 91-105
Kirk GE (2003) The design of the Rolls-Royce Trent 500 aeroengine. In: Proceedings of the 14th International Conference on Engineering Design (ICED’03), Stockholm, Sweden
Lévárdy V, Browning TR (2009) An adaptive process model to support product development project management. IEEE Transactions on Engineering Management 56(4): 600-620
Neely A (2005) The evolution of performance measurement: Developments in last decade and a research agenda for the next. International Journal of Operations & Production Management 25(12): 1264-1277
O'Donnell FJ, Duffy AHB (2005) Design Performance. Springer, London, UK
Pahl G, Beitz W (1996) Engineering design: A systematic approach. Springer, London, UK
Paquin JP, Couillard J, Ferrard DJ (2000) Assessing and controlling the quality of a project end product: The Earned Quality Method. IEEE Transactions on Engineering Management 47(1): 88-97
Schabacker M (2002) Benefit evaluation of new technologies. In: Proceedings of the ASME International Design Engineering Technical Conference (IDETC/CIE2002), Montreal, Canada
Wynn DC, Eckert CM, Clarkson PJ (2006) Applied signposting: A modeling framework to support design process improvement. In: Proceedings of the ASME International Design Engineering Technical Conferences (IDETC/CIE2006), Philadelphia, PA, US
Zhao Y, Tang LCM, Darlington MJ, Austin SA, Culley SJ (2008) High value information in engineering organisations. International Journal of Information Management 28(4): 246-258
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag London Limited
About this paper
Cite this paper
Kerley, W., Clarkson, P. (2010). Modelling the Quality of Engineering Designs. In: Heisig, P., Clarkson, P., Vajna, S. (eds) Modelling and Management of Engineering Processes. Springer, London. https://doi.org/10.1007/978-1-84996-199-8_13
Download citation
DOI: https://doi.org/10.1007/978-1-84996-199-8_13
Publisher Name: Springer, London
Print ISBN: 978-1-84996-198-1
Online ISBN: 978-1-84996-199-8
eBook Packages: EngineeringEngineering (R0)