Abstract | ||
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It has been argued that a value-driven approach can potentially eliminate troubling issues that arise during the design process, such as cost and schedule overrun, by taking a holistic perspective on how individual design decisions impact high-level attributes of concern. However, value-driven approaches can be difficult to implement in practice, at least partly because supporting tools and methods have not yet been sufficiently developed. Additionally, due to the multitude of researchers investigating the concept of value, it can be difficult to unambiguously characterize what defines an effective value model. |
Year | DOI | Venue |
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2014 | 10.1016/j.procs.2014.03.029 | Procedia Computer Science |
Keywords | Field | DocType |
Value-Driven Design,Hybrid Energy Systems,Value Models | Conceptual design,Value-driven design,Multitude,Computer science,Risk analysis (engineering),Artificial intelligence,Energy system,Engineering design process,Management science,Machine learning | Conference |
Volume | ISSN | Citations |
28 | 1877-0509 | 0 |
PageRank | References | Authors |
0.34 | 8 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Benjamin D. Lee | 1 | 0 | 0.34 |
William R. Binder | 2 | 0 | 0.34 |
Christiaan J. J. Paredis | 3 | 519 | 56.69 |