Matches in SemOpenAlex for { <https://semopenalex.org/work/W2060670000> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2060670000 abstract "Assembly time estimation is traditionally a time-intensive manual process that requires detailed geometric and process information, which is often subjective and qualitative in nature. As a result, assembly time estimation is rarely applied during early design iterations. In this paper, the authors explore the possibility of automating the assembly time estimation process while reducing the level of design detail required. In this approach, they train artificial neural networks (ANNs) to estimate the assembly times of vehicle subassemblies using either assembly connectivity or liaison graph properties, respectively, as input data. The effectiveness of estimation is evaluated based on the distribution of estimates provided by a population of ANNs trained on the same input data using varying initial conditions. Results indicate that this method can provide time estimates of an assembly process with ±15% error while relying exclusively on the geometric part information rather than process instructions." @default.
- W2060670000 created "2016-06-24" @default.
- W2060670000 creator A5003449411 @default.
- W2060670000 creator A5048138328 @default.
- W2060670000 creator A5054060614 @default.
- W2060670000 creator A5076101341 @default.
- W2060670000 date "2014-01-22" @default.
- W2060670000 modified "2023-10-14" @default.
- W2060670000 title "Manufacturing Assembly Time Estimation Using Structural Complexity Metric Trained Artificial Neural Networks" @default.
- W2060670000 cites W1586335931 @default.
- W2060670000 cites W1999839102 @default.
- W2060670000 cites W2003809024 @default.
- W2060670000 cites W2007569366 @default.
- W2060670000 cites W2011417860 @default.
- W2060670000 cites W2011441241 @default.
- W2060670000 cites W2020635284 @default.
- W2060670000 cites W2025263956 @default.
- W2060670000 cites W2029603094 @default.
- W2060670000 cites W2031644035 @default.
- W2060670000 cites W2039811628 @default.
- W2060670000 cites W2044333385 @default.
- W2060670000 cites W2046142510 @default.
- W2060670000 cites W2048160353 @default.
- W2060670000 cites W2053127918 @default.
- W2060670000 cites W2065082876 @default.
- W2060670000 cites W2074307917 @default.
- W2060670000 cites W2094929866 @default.
- W2060670000 cites W2101895271 @default.
- W2060670000 cites W2121394390 @default.
- W2060670000 doi "https://doi.org/10.1115/1.4025809" @default.
- W2060670000 hasPublicationYear "2014" @default.
- W2060670000 type Work @default.
- W2060670000 sameAs 2060670000 @default.
- W2060670000 citedByCount "11" @default.
- W2060670000 countsByYear W20606700002016 @default.
- W2060670000 countsByYear W20606700002017 @default.
- W2060670000 countsByYear W20606700002018 @default.
- W2060670000 countsByYear W20606700002019 @default.
- W2060670000 countsByYear W20606700002023 @default.
- W2060670000 crossrefType "journal-article" @default.
- W2060670000 hasAuthorship W2060670000A5003449411 @default.
- W2060670000 hasAuthorship W2060670000A5048138328 @default.
- W2060670000 hasAuthorship W2060670000A5054060614 @default.
- W2060670000 hasAuthorship W2060670000A5076101341 @default.
- W2060670000 hasBestOaLocation W20606700002 @default.
- W2060670000 hasConcept C111919701 @default.
- W2060670000 hasConcept C119857082 @default.
- W2060670000 hasConcept C124101348 @default.
- W2060670000 hasConcept C127413603 @default.
- W2060670000 hasConcept C132525143 @default.
- W2060670000 hasConcept C154945302 @default.
- W2060670000 hasConcept C176217482 @default.
- W2060670000 hasConcept C201995342 @default.
- W2060670000 hasConcept C21547014 @default.
- W2060670000 hasConcept C41008148 @default.
- W2060670000 hasConcept C50644808 @default.
- W2060670000 hasConcept C80444323 @default.
- W2060670000 hasConcept C96250715 @default.
- W2060670000 hasConcept C98045186 @default.
- W2060670000 hasConceptScore W2060670000C111919701 @default.
- W2060670000 hasConceptScore W2060670000C119857082 @default.
- W2060670000 hasConceptScore W2060670000C124101348 @default.
- W2060670000 hasConceptScore W2060670000C127413603 @default.
- W2060670000 hasConceptScore W2060670000C132525143 @default.
- W2060670000 hasConceptScore W2060670000C154945302 @default.
- W2060670000 hasConceptScore W2060670000C176217482 @default.
- W2060670000 hasConceptScore W2060670000C201995342 @default.
- W2060670000 hasConceptScore W2060670000C21547014 @default.
- W2060670000 hasConceptScore W2060670000C41008148 @default.
- W2060670000 hasConceptScore W2060670000C50644808 @default.
- W2060670000 hasConceptScore W2060670000C80444323 @default.
- W2060670000 hasConceptScore W2060670000C96250715 @default.
- W2060670000 hasConceptScore W2060670000C98045186 @default.
- W2060670000 hasIssue "1" @default.
- W2060670000 hasLocation W20606700001 @default.
- W2060670000 hasLocation W20606700002 @default.
- W2060670000 hasOpenAccess W2060670000 @default.
- W2060670000 hasPrimaryLocation W20606700001 @default.
- W2060670000 hasRelatedWork W1519970947 @default.
- W2060670000 hasRelatedWork W2342695897 @default.
- W2060670000 hasRelatedWork W2362198218 @default.
- W2060670000 hasRelatedWork W2382330008 @default.
- W2060670000 hasRelatedWork W2391251536 @default.
- W2060670000 hasRelatedWork W2563559453 @default.
- W2060670000 hasRelatedWork W2576994247 @default.
- W2060670000 hasRelatedWork W2608353378 @default.
- W2060670000 hasRelatedWork W2961085424 @default.
- W2060670000 hasRelatedWork W4383503847 @default.
- W2060670000 hasVolume "14" @default.
- W2060670000 isParatext "false" @default.
- W2060670000 isRetracted "false" @default.
- W2060670000 magId "2060670000" @default.
- W2060670000 workType "article" @default.