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A prescriptive approach to qualify and quantify customer value for value-based requirements engineering

Record type: Article

Recently, customer-based product development is becoming a popular paradigm. Customer expectations and needs can be identified and transformed into requirements for product design with the help of various methods and tools. However, in many cases, these models fail to focus on the perceived value that is crucial when customers make the decision of purchasing a product. In this paper, a prescriptive approach to support value-based requirements engineering (RE) is proposed, describing the foundations, procedures and initial applications in the context of RE for commercial aircraft. An integrated set of techniques, such as means-ends analysis, part-whole analysis and multi-attribute utility theory is introduced in order to understand customer values in depth and width. Technically, this enables identifying the implicit value, structuring logically collected statements of customer expectations and performing value modelling and simulation. Additionally, it helps to put in place a system to measure customer satisfaction that is derived from the proposed approach. The approach offers significant potential to develop effective value creation strategies for the development of new products

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Citation

Zhang, Xinwei, Auriol, Guillaume, Eres, Hakki and Baron, Claude (2013) A prescriptive approach to qualify and quantify customer value for value-based requirements engineering International Journal of Computer Integrated Manufacturing, 26, (4), pp. 327-345. (doi:10.1080/0951192X.2012.717718).

More information

e-pub ahead of print date: 30 August 2012
Published date: 1 April 2013
Organisations: Computational Engineering & Design Group

Identifiers

Local EPrints ID: 342532
URI: http://eprints.soton.ac.uk/id/eprint/342532
ISSN: 0951-192X
PURE UUID: 18f33c92-b7e3-490a-9cf5-292e34a94b75

Catalogue record

Date deposited: 05 Sep 2012 13:38
Last modified: 18 Jul 2017 05:27

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Contributors

Author: Xinwei Zhang
Author: Guillaume Auriol
Author: Hakki Eres
Author: Claude Baron

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