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System Engineering Workshare Risk Analysis

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

System Engineering Workshare Risk Analysis

Abstract

In today’s global economy, companies develop products not only to target a single market, but to sell them to the entire world. Companies that realize the importance of collaborative design develop regional engineering centers worldwide to balance design variations while ensuring local market success. This paradigm enables diverse customer values to be integrated into products, but also introduces challenges in the management of work distribution. Typically, workshare decisions consider the capability and capacity of the regional centers. This strategy, however, overlooks the interdependence of the design systems, leading to delays and quality problems. This paper describes a method to formulate the workshare risk based on the couplings of the design system components and to evaluate overall workshare scenario. The method involves two relationships, Component-to-Component Coupling and Workshare Coupling, and a technique to combine these two relationships to measure the workshare risk. A simple case of hair dryer illustrates the concepts, while the method is serving actual global automotive 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!
6
Average
Top 10%
Average
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