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It is essential to assess the effects of change rigorously before a change is implemented, yet design engineers are faced with the problem that an exhaustive analysis of all product parameters affected by change proposals is simply impractical. In this paper, we describe a criticality-based approach to ordering predicted risks. This enables design engineers to concentrate their efforts on the components which are critically disposed to the effects of proposed changes. Using a diesel engine as an example, we show that components which have the most noteworthy risk of causing significant redesign if affected by a change are not always of the highest priority when evaluating effects of change.
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Stored only when both papers are in the corpus — 5 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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