Anticipatory Capacity: Leveraging Model-Based Approaches to Design Systems for Dynamic Futures
Name
Rhodes-2009-Anticipatory Capacity Leveraging Model-Based Approaches to Design Systems for Dynamic Futures.pdf
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381.32 KB
Format
Adobe PDF
Checksum (MD5)
d61d912f69d494bdab77eed3ab3f0944
Author(s)
Rhodes, Donna H.
Ross, Adam Michael
Date Issued
May 2009
Journal
International Conference on Model-Based Systems Engineering, 2009. MBSE '09
Publisher
Institute of Electrical and Electronics Engineers
Citation
Rhodes, D.H., and A.M. Ross. “Anticipatory capacity: Leveraging model-based approaches to design systems for dynamic futures.” Model-Based Systems Engineering, 2009. MBSE '09. International Conference on. 2009. 46-51. ©2009 IEEE.
Version
Final published version
Abstract
The paper presents a vision for enhancing anticipatory capacity of engineering organizations, with a goal of enabling the design of systems that can deliver sustained value as the world changes. Anticipatory capacity is the capacity of an organization to continuously develop and apply knowledge acquired through a structured approach to anticipate changing scenarios as needs and context change over time, While anticipation has always had a role in designing systems; the availability of model-based methods has significant implications. Anticipatory capacity extends from three key elements: competencies, methods, and a model-based environment. The paper discusses ongoing and planned research in support of establishing anticipatory capacity in organizations by leveraging the opportunities of model-based engineering.
MIT Department
Massachusetts Institute of Technology. Systems Engineering Advancement Research Initiative
Massachusetts Institute of Technology. Center for Technology, Policy, and Industrial Development
Massachusetts Institute of Technology. Engineering Systems Division
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/MBSE.2009.5031719
