Automatically Generating the Technology Compatibility Matrix Using Graph Transformations

Martijn Roelofs, Roelof Vos, Kristian Amadori, Christopher Jouannet

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

3 Citations (Scopus)
102 Downloads (Pure)

Abstract

One of the first stages during technology evaluation and selection is constructing the technology compatibility matrix, which indicates the compatibility of each pair in a technology portfolio. Construction of the technology compatibility matrix usually involves subjective expert judgment, which inhibits assessing each pair consistently and storing the decision rationale. Therefore, this study develops a method based on graph transformations, allowing for a formal theoretical description of technologies. In order to automate this process, two algorithms use these graph transformations to deduce technology compatibility and dependencies between technologies. The first checks whether changes made by a pair of transformations are compatible with each other. The second defines dependencies for each technology and attempts to resolve these using other technologies. The method is put into practice for a technology portfolio within Saab Aeronautics and the automatically generated compatibility matrix is compared to a pre-existing expert-judgment-based matrix for the same portfolio. Roughly 90% of the entries in the algorithm-based TCM are identical to the expert-based TCM. Therefore, the automated method is capable of capturing much of human reasoning in this context. However, in order to fully agree with human expertise, physics and design reasoning should be included to expand the scope of inference.
Original languageEnglish
Title of host publicationAIAA Aviation 2019 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
Number of pages14
ISBN (Electronic)978-1-62410-589-0
ISBN (Print)9781624105890
DOIs
Publication statusPublished - 2019
EventAIAA Aviation 2019 Forum - Dallas, United States
Duration: 17 Jun 201921 Jun 2019
https://arc.aiaa.org/doi/book/10.2514/MAVIAT19

Publication series

NameAIAA Aviation 2019 Forum

Conference

ConferenceAIAA Aviation 2019 Forum
Country/TerritoryUnited States
CityDallas
Period17/06/1921/06/19
Internet address

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