Quantification of Value Dimensions

Fig. 5: Use of DSM, Combined Risk Matrix, and In/Out Risk Plot to quantify the Value Dimensions

Acknowledgement:‘Co-funded by the European Union’

Disclaimer:‘This text reflects only the author’s views and the Union is not liable for any use that may be made of the information contained therein.’

Integrating Value Assessment into the Computational Engineering Design Cycle

Timos Kipouros – University of Cambridge, UKOla Isaksson – GKN Aerospace Engine Systems, Sweden

Value Driven Design Methodology

Fig. 1: Multi system level approach Fig. 2: Three phases of the VDD processto Value Driven Design (VDD)

1. A preparatory phase- Stakeholder expectations- Stakeholder needs- Value Dimensions- Value Drivers- Definition of the Value Dimensions and Value Drivers relationships

2. Conducting Studies- Candidate designs and architectures are explored according to the Value Dimensions

3. Value Evaluation- Understanding the design space through visualisation (“Screening”)

Illustrative Case Study and Methodology

Fig. 3: Re-engine Scenario: Turbine Exit Structure (Illustration from Flight Magazine)

Fig. 4: Expression of customer expectations & needs; Identification of Value Dimensions and Value Drivers

Generation of Architectural Options

The Configurable Components Model (CCM) has been used by Chalmers University, Sweden. Seven alternative architectural options have been identified and then evaluated and assessed according to the Value Dimensions. The Change Prediction Model (CPM) within the Cambridge Advanced Modeller (CAM) tool has been deployed. These simulations receive the DSM (Design Structure Matrix) description of the different design solutions and produce the Combined Risk Matrices, as well as the In/Out Risk plots.

Value Assessment – Screening

Fig. 6: Visualisation of the Value Dimensions Space in Cartesian and Parallel Coordinates Systems

Benefits

• Ability to minimise rework through early identification of behaviour in selected Value Dimensions

• Ability to identify architectural options that align with Value Creation Strategy• Enable evaluation of design options in advance of physical trade studies• Link Top Level Requirements with technical measures of ‘performance’

ReferencesT. Kipouros and O. Isaksson (2014) ‘Integrating Value Assessment into the Computational Engineering Design Cycle’, in OPT-i 2014: International Conference on Engineering and Applied Sciences Optimization, Kos Island, Greece, Paper 3620O. Isaksson, M. Kossmann, M. Bertoni, H. Eres, A. Monceaux, A. Bertoni, S. Wiseall, X. Zhang (2013) ‘Value-driven design: a methodology to link expectations to technical requirements in the extended enterprise’, in INCOSE International Symposium, Philadelphia, PA

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The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-

2013) under grant agreement n° 604981