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Validation of Distributed Risk Framework

Authors: Peter Leung; Kosuke Ishii; Jan Benson; Jeffrey Abell;

Validation of Distributed Risk Framework

Abstract

Global companies realize the importance of collaborative design, or workshare, to develop products not only to target to a single market, but to sell them to the entire world. Workshare not only incorporates diverse customer values into the product development, but also introduces challenges in managing work distributions among global teams. As a result, the authors have developed a Distributed Risk Framework to quantify risk based on rework to facilitate workshare planning [5] [6]. The risk framework has been applied to several industry projects and it received positive feedback from the potential users of these pilot applications. To verify the risk results analytically, this paper seeks for statistical evidence to confirm the key assumption that motivates the development and the usage of the framework, with the assumption being that more distributed work results in a greater risk of rework. This paper begins with an overview of the risk framework followed by the steps of using actual rework data from the International Vehicle Company (IVC) to confirm the framework assumption. As a summary, this paper presents the contributions of the risk framework and the barriers to extend it to other distributed product development projects.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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