Taking account of information maturity in assessing product risk

Cabannes, Guilain; Goh, Yee Mey; Troussier, Nadège; Gidel, Thierry; McMahon, Chris

doi:10.1007/s12008-014-0228-1

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Maturity denotes the compromise, or distance, between actual and target uncertainty (Grebici et al, 2007) and is often assessed using a leveled scale, ranging from a low initial level to the top optimizing level. Cabannes et al (2014) define maturity as "uncertainty in the context of the design parameters and behavioral models that may evolve in the course of the design process, such as a dimension that has not been fixed and a simplified model that needs to be refined." (Cabannes et al, 2014, p. 234) Maturity reflects a way of signposting a fitness for purpose to trust imprecise information in the early stages of development, reflecting how confident and committed the provider and user are, respectively (Grebici et al, 2007, p. 282).…”

Section: Knowledge Maturity As Quality Indicator In Design Decision-m...mentioning

confidence: 99%

Investigating effects of group model building on sustainable design decision-making

Watz

Johansson²,

Bertoni³

et al. 2022

Sustainable Production and Consumption

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Section: Knowledge Maturity As Quality Indicator In Design Decision-m...mentioning

confidence: 99%

Investigating effects of group model building on sustainable design decision-making

Watz

Johansson²,

Bertoni³

et al. 2022

Sustainable Production and Consumption

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A Quantitative Framework for Managing Project Value, Risk, and Opportunity

Browning

2014

IEEE Trans. Eng. Manage.

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Application of System Engineering to Project Management

Galli

2018

International Journal of System Dynamics Applications

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System engineering in complex systems has transitioned into a well detailed, universally accepted, client-oriented methodology. Unfortunately, this approach hasn't been adopted in most commercially mandated research and development organizations. This article acknowledges that to improve the success of projects, it is essential to understand the benefits of managing product requirement with system engineering. In discussion is the application of system engineering in improving the success rate through better requirement handling. It presents the elements of the relationship between system engineering and project management. The findings suggest that the full importance of applying system engineering can only be enjoyed if other pre-requisites on prudent decision-making are applied. Furthermore, the findings suggest guidance on ways of adopting system-engineering (SE) practices when implementing in large-scale engineering projects.

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Taking account of information maturity in assessing product risk

Cited by 3 publications

References 8 publications

Investigating effects of group model building on sustainable design decision-making

Investigating effects of group model building on sustainable design decision-making

A Quantitative Framework for Managing Project Value, Risk, and Opportunity

Application of System Engineering to Project Management

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