Understanding collaboration in sub-structured teams through a computational model of set-based concurrent engineering.
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| Title: | Understanding collaboration in sub-structured teams through a computational model of set-based concurrent engineering. |
|---|---|
| Authors: | Rismiller, Sean1 (AUTHOR) srismill@alumni.cmu.edu, Cagan, Jonathan1 (AUTHOR), McComb, Christopher1 (AUTHOR) |
| Source: | Journal of Engineering Design. May2024, Vol. 35 Issue 5, p543-569. 27p. |
| Subjects: | Concurrent engineering, Teams, Research personnel, Research teams, Multiagent systems |
| Abstract: | Coordinating the collaboration within sub-structured teams created for large engineering projects presents several challenges. Set-based concurrent engineering (SBCE), by maintaining several candidate designs for each subproblem throughout the process, may alter the best ways to coordinate subteams in these projects, compared to point-based concurrent engineering (PBCE) processes in which only one candidate design is maintained for each subproblem. Previous studies have introduced SBCE to industry with positive results and have corroborated its stated benefits through computational study, but researchers have yet to systematically study how SBCE interacts with sub-structured teams. This work augments a multi-agent model developed to simulate and study SBCE, the Point/Set-Organized Research Teams (PSORT) platform, to model sub-structured teams with different forms of intra-subteam collaboration, including joint iteration, design sharing, or no collaboration at all. Design projects are then simulated using these collaboration methods with PBCE and SBCE conditions to investigate how SBCE affects team performance under different modes of intra-subteam collaboration. These studies find that SBCE enables nominal subteams to combine the efforts of multiple designers on individual subproblems with minimal losses, while high levels of collaboration during development are found to assist designers in overcoming design barriers, which SBCE facilitates by maintaining many design options. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Engineering Design is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 177038739 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Understanding collaboration in sub-structured teams through a computational model of set-based concurrent engineering. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rismiller%2C+Sean%22">Rismiller, Sean</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> srismill@alumni.cmu.edu</i><br /><searchLink fieldCode="AR" term="%22Cagan%2C+Jonathan%22">Cagan, Jonathan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McComb%2C+Christopher%22">McComb, Christopher</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Engineering+Design%22">Journal of Engineering Design</searchLink>. May2024, Vol. 35 Issue 5, p543-569. 27p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Concurrent+engineering%22">Concurrent engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Teams%22">Teams</searchLink><br /><searchLink fieldCode="DE" term="%22Research+personnel%22">Research personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Research+teams%22">Research teams</searchLink><br /><searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Coordinating the collaboration within sub-structured teams created for large engineering projects presents several challenges. Set-based concurrent engineering (SBCE), by maintaining several candidate designs for each subproblem throughout the process, may alter the best ways to coordinate subteams in these projects, compared to point-based concurrent engineering (PBCE) processes in which only one candidate design is maintained for each subproblem. Previous studies have introduced SBCE to industry with positive results and have corroborated its stated benefits through computational study, but researchers have yet to systematically study how SBCE interacts with sub-structured teams. This work augments a multi-agent model developed to simulate and study SBCE, the Point/Set-Organized Research Teams (PSORT) platform, to model sub-structured teams with different forms of intra-subteam collaboration, including joint iteration, design sharing, or no collaboration at all. Design projects are then simulated using these collaboration methods with PBCE and SBCE conditions to investigate how SBCE affects team performance under different modes of intra-subteam collaboration. These studies find that SBCE enables nominal subteams to combine the efforts of multiple designers on individual subproblems with minimal losses, while high levels of collaboration during development are found to assist designers in overcoming design barriers, which SBCE facilitates by maintaining many design options. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Engineering Design is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=177038739 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/09544828.2024.2324402 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 543 Subjects: – SubjectFull: Concurrent engineering Type: general – SubjectFull: Teams Type: general – SubjectFull: Research personnel Type: general – SubjectFull: Research teams Type: general – SubjectFull: Multiagent systems Type: general Titles: – TitleFull: Understanding collaboration in sub-structured teams through a computational model of set-based concurrent engineering. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rismiller, Sean – PersonEntity: Name: NameFull: Cagan, Jonathan – PersonEntity: Name: NameFull: McComb, Christopher IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09544828 Numbering: – Type: volume Value: 35 – Type: issue Value: 5 Titles: – TitleFull: Journal of Engineering Design Type: main |
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