Asset Management Decision Support Tools: Computational Complexity, Transparency, and Realism

Asset management decision support tools determine which action (maintenance, rehabilitation, or reconstruction) is applied to each facility in a transportation network and when. Sophisticated tools recognize uncertainties and consider emerging priorities. However, these tools are often computational...

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Main Authors: Babatunde Atolagbe, Sue McNeil
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/36/1/5
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author Babatunde Atolagbe
Sue McNeil
author_facet Babatunde Atolagbe
Sue McNeil
author_sort Babatunde Atolagbe
collection DOAJ
description Asset management decision support tools determine which action (maintenance, rehabilitation, or reconstruction) is applied to each facility in a transportation network and when. Sophisticated tools recognize uncertainties and consider emerging priorities. However, these tools are often computationally complex and lack transparency, the models are difficult to evaluate, and the outputs challenging to validate. This paper explores computational complexity, transparency, and realism in transportation asset management decision support tools to better understand how to select the right tools for a particular context. The results provide direction for agencies when selecting decision support tools, and for researchers and tool developers working towards developing the right tool for an application.
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spelling doaj.art-0bfacb9cf3164e6bbe38879fea814ae02024-03-27T13:36:25ZengMDPI AGEngineering Proceedings2673-45912023-06-01361510.3390/engproc2023036005Asset Management Decision Support Tools: Computational Complexity, Transparency, and RealismBabatunde Atolagbe0Sue McNeil1Department of Civil Engineering, University of Delaware, Newark, DE 19716, USADepartment of Civil Engineering, University of Delaware, Newark, DE 19716, USAAsset management decision support tools determine which action (maintenance, rehabilitation, or reconstruction) is applied to each facility in a transportation network and when. Sophisticated tools recognize uncertainties and consider emerging priorities. However, these tools are often computationally complex and lack transparency, the models are difficult to evaluate, and the outputs challenging to validate. This paper explores computational complexity, transparency, and realism in transportation asset management decision support tools to better understand how to select the right tools for a particular context. The results provide direction for agencies when selecting decision support tools, and for researchers and tool developers working towards developing the right tool for an application.https://www.mdpi.com/2673-4591/36/1/5asset managementdecision supportcomputational complexitytransparencyvalidation
spellingShingle Babatunde Atolagbe
Sue McNeil
Asset Management Decision Support Tools: Computational Complexity, Transparency, and Realism
Engineering Proceedings
asset management
decision support
computational complexity
transparency
validation
title Asset Management Decision Support Tools: Computational Complexity, Transparency, and Realism
title_full Asset Management Decision Support Tools: Computational Complexity, Transparency, and Realism
title_fullStr Asset Management Decision Support Tools: Computational Complexity, Transparency, and Realism
title_full_unstemmed Asset Management Decision Support Tools: Computational Complexity, Transparency, and Realism
title_short Asset Management Decision Support Tools: Computational Complexity, Transparency, and Realism
title_sort asset management decision support tools computational complexity transparency and realism
topic asset management
decision support
computational complexity
transparency
validation
url https://www.mdpi.com/2673-4591/36/1/5
work_keys_str_mv AT babatundeatolagbe assetmanagementdecisionsupporttoolscomputationalcomplexitytransparencyandrealism
AT suemcneil assetmanagementdecisionsupporttoolscomputationalcomplexitytransparencyandrealism