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Flexibility in Engineering Design

de Neufville, Richard, Scholtes, Stefan·2011·The MIT Press eBooks

Abstract

A guide to using the power of design flexibility to improve the performance of complex technological projects, for designers, managers, users, and analysts. Project teams can improve results by recognizing that the future is inevitably uncertain and that by creating flexible designs they can adapt to eventualities. This approach enables them to take advantage of new opportunities and avoid harmful losses. Designers of complex, long-lasting projects—such as communication networks, power plants, or hospitals—must learn to abandon fixed specifications and narrow forecasts. They need to avoid the “flaw of averages,” the conceptual pitfall that traps so many designs in underperformance. Failure to allow for changing circumstances risks leaving significant value untapped. This book is a guide for creating and implementing value-enhancing flexibility in design. It will be an essential resource for all participants in the development and operation of technological systems: designers, managers, financial analysts, investors, regulators, and academics. The book provides a high-level overview of why flexibility in design is needed to deliver significantly increased value. It describes in detail methods to identify, select, and implement useful flexibility. The book is unique in that it explicitly recognizes that future outcomes are uncertain. It thus presents forecasting, analysis, and evaluation tools especially suited to this reality. Appendixes provide expanded explanations of concepts and analytic tools.

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Metadata

Authors
de Neufville, R., & Scholtes, S.
Venue
The MIT Press eBooks
Publisher
The MIT Press
Published
2011-08-12
OpenAlex
W2415944271
Cited by
506
References
0
FWCI
35.35
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Flexibility in Engineering Design. https://app.cochat.ai/papers/10.7551/mitpress/8292.001.0001
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de Neufville, R., & Scholtes, S. (2011). Flexibility in Engineering Design. The MIT Press eBooks. https://doi.org/10.7551/mitpress/8292.001.0001

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.