FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2059964477> ?p ?o ?g. }

• W2059964477 abstract "The scientific and industrial communities have begun investigating the possibility of making product recovery economically viable. Disassembly sequence planning may be used to make end-of-life product take-back processes more cost effective. Much of the research involving disassembly sequence planning relies on mathematical optimization models. These models often require input data that is unavailable or can only be approximated with high uncertainty. In addition, there are few mathematical models that include consideration of the potential of product damage during disassembly operations. The emergence of Immersive Computing Technologies (ICT) enables designers to evaluate products without the need for physical prototypes. Utilizing unique 3D user interfaces, designers can investigate a multitude of potential disassembly operations without resorting to disassembly of actual products. The information obtained through immersive simulation can be used to determine the optimum disassembly sequence. The aim of this work is to apply a decision analytical approach in combination with immersive computing technology to optimize the disassembly sequence while considering trade-offs between two conflicting attributes: disassembly cost and damage estimation during disassembly operations. A wooden Burr puzzle is used as an example product test case. Immersive human computer interaction is used to determine input values for key variables in the mathematical model. The results demonstrate that the use of dynamic programming algorithms coupled with virtual disassembly simulation is an effective method for evaluating multiple attributes in disassembly sequence planning. This paper presents a decision analytical approach, combined with immersive computing techniques, to optimize the disassembly sequence. Future work will concentrate on creating better methods of estimating damage in virtual disassembly environments and using the immersive technology to further explore the feasible design space." @default.
• W2059964477 created "2016-06-24" @default.
• W2059964477 creator A5001972501 @default.
• W2059964477 creator A5014259384 @default.
• W2059964477 creator A5016032135 @default.
• W2059964477 creator A5082514124 @default.
• W2059964477 date "2014-04-28" @default.
• W2059964477 modified "2023-09-23" @default.
• W2059964477 title "Immersive Computing Technology to Investigate Tradeoffs Under Uncertainty in Disassembly Sequence Planning" @default.
• W2059964477 cites W1978339264 @default.
• W2059964477 cites W1993850994 @default.
• W2059964477 cites W2000125530 @default.
• W2059964477 cites W2002377448 @default.
• W2059964477 cites W2005102720 @default.
• W2059964477 cites W2005819764 @default.
• W2059964477 cites W2006497887 @default.
• W2059964477 cites W2014057637 @default.
• W2059964477 cites W2016956950 @default.
• W2059964477 cites W2022891348 @default.
• W2059964477 cites W2025406722 @default.
• W2059964477 cites W2040381204 @default.
• W2059964477 cites W2041259113 @default.
• W2059964477 cites W2043379300 @default.
• W2059964477 cites W2051580476 @default.
• W2059964477 cites W2053872991 @default.
• W2059964477 cites W2054635759 @default.
• W2059964477 cites W2059890236 @default.
• W2059964477 cites W2060543657 @default.
• W2059964477 cites W2063668492 @default.
• W2059964477 cites W2067634177 @default.
• W2059964477 cites W2077697189 @default.
• W2059964477 cites W2099709390 @default.
• W2059964477 cites W2100587023 @default.
• W2059964477 cites W2105122425 @default.
• W2059964477 cites W2120949969 @default.
• W2059964477 cites W2148336640 @default.
• W2059964477 doi "https://doi.org/10.1115/1.4025021" @default.
• W2059964477 hasPublicationYear "2014" @default.
• W2059964477 type Work @default.
• W2059964477 sameAs 2059964477 @default.
• W2059964477 citedByCount "15" @default.
• W2059964477 countsByYear W20599644772014 @default.
• W2059964477 countsByYear W20599644772015 @default.
• W2059964477 countsByYear W20599644772017 @default.
• W2059964477 countsByYear W20599644772018 @default.
• W2059964477 countsByYear W20599644772019 @default.
• W2059964477 countsByYear W20599644772020 @default.
• W2059964477 countsByYear W20599644772021 @default.
• W2059964477 countsByYear W20599644772022 @default.
• W2059964477 countsByYear W20599644772023 @default.
• W2059964477 crossrefType "journal-article" @default.
• W2059964477 hasAuthorship W2059964477A5001972501 @default.
• W2059964477 hasAuthorship W2059964477A5014259384 @default.
• W2059964477 hasAuthorship W2059964477A5016032135 @default.
• W2059964477 hasAuthorship W2059964477A5082514124 @default.
• W2059964477 hasConcept C127413603 @default.
• W2059964477 hasConcept C13736549 @default.
• W2059964477 hasConcept C144133560 @default.
• W2059964477 hasConcept C162853370 @default.
• W2059964477 hasConcept C19351080 @default.
• W2059964477 hasConcept C201995342 @default.
• W2059964477 hasConcept C2524010 @default.
• W2059964477 hasConcept C26517878 @default.
• W2059964477 hasConcept C2778112365 @default.
• W2059964477 hasConcept C33923547 @default.
• W2059964477 hasConcept C38652104 @default.
• W2059964477 hasConcept C41008148 @default.
• W2059964477 hasConcept C54355233 @default.
• W2059964477 hasConcept C86803240 @default.
• W2059964477 hasConcept C90673727 @default.
• W2059964477 hasConceptScore W2059964477C127413603 @default.
• W2059964477 hasConceptScore W2059964477C13736549 @default.
• W2059964477 hasConceptScore W2059964477C144133560 @default.
• W2059964477 hasConceptScore W2059964477C162853370 @default.
• W2059964477 hasConceptScore W2059964477C19351080 @default.
• W2059964477 hasConceptScore W2059964477C201995342 @default.
• W2059964477 hasConceptScore W2059964477C2524010 @default.
• W2059964477 hasConceptScore W2059964477C26517878 @default.
• W2059964477 hasConceptScore W2059964477C2778112365 @default.
• W2059964477 hasConceptScore W2059964477C33923547 @default.
• W2059964477 hasConceptScore W2059964477C38652104 @default.
• W2059964477 hasConceptScore W2059964477C41008148 @default.
• W2059964477 hasConceptScore W2059964477C54355233 @default.
• W2059964477 hasConceptScore W2059964477C86803240 @default.
• W2059964477 hasConceptScore W2059964477C90673727 @default.
• W2059964477 hasIssue "7" @default.
• W2059964477 hasLocation W20599644771 @default.
• W2059964477 hasOpenAccess W2059964477 @default.
• W2059964477 hasPrimaryLocation W20599644771 @default.
• W2059964477 hasRelatedWork W2011054481 @default.
• W2059964477 hasRelatedWork W2039501977 @default.
• W2059964477 hasRelatedWork W2185689662 @default.
• W2059964477 hasRelatedWork W2324862758 @default.
• W2059964477 hasRelatedWork W2352478199 @default.
• W2059964477 hasRelatedWork W2354340688 @default.
• W2059964477 hasRelatedWork W2366548839 @default.
• W2059964477 hasRelatedWork W2379011182 @default.
• W2059964477 hasRelatedWork W2522318526 @default.
• W2059964477 hasRelatedWork W2568501681 @default.
• W2059964477 hasVolume "136" @default.

• next