Given-Find-In Order To-Subjected To (GFIS) method for the problem statement in set-based design

The Given-Find-Solution (GFS) method is a widely used procedure to systematically understand “what the problem is” in engineering problems. Nevertheless, the GFS method does not provide a clear guide on how to handle uncertainty, feasibility, and preference for design problems. Addressing this issue...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of mechanical engineering education 2024-10, Vol.52 (4), p.403-428
Hauptverfasser: Fernández-Caballero, Juan Carlos, Hernández-Luna, Alberto A., Sobek, Durward K., Ramírez-Mendoza, Ricardo A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 428
container_issue 4
container_start_page 403
container_title International journal of mechanical engineering education
container_volume 52
creator Fernández-Caballero, Juan Carlos
Hernández-Luna, Alberto A.
Sobek, Durward K.
Ramírez-Mendoza, Ricardo A.
description The Given-Find-Solution (GFS) method is a widely used procedure to systematically understand “what the problem is” in engineering problems. Nevertheless, the GFS method does not provide a clear guide on how to handle uncertainty, feasibility, and preference for design problems. Addressing this issue is crucial since the designer usually requires making assumptions to be able to propose functional solutions. The Given-Find-In Order To-Subjected To (GFIS) method and roadmap are here proposed to systematically state a design problem and requirements using fuzzy desirability functions to handle uncertainty, feasibility, and preference. The GFIS method lists the parameters, variables, specifications, restrictions, and preferences to facilitate the decision-making process. A comparative study was conducted with undergraduate students from Tecnológico de Monterrey enrolled in the course Design Methodologies. The students solved a band brake design problem before and after applying the GFIS method, and their performance was compared. The results showed a significant improvement in their decision-making ability, their capability to find feasible solutions, and the time required to make a design proposal.
doi_str_mv 10.1177/03064190231181339
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3099866361</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_03064190231181339</sage_id><sourcerecordid>3099866361</sourcerecordid><originalsourceid>FETCH-LOGICAL-c264t-7b6df26fbb67e19bbc6a68d72bc541e1d27407aefa1e4c85d2b579f33046c74d3</originalsourceid><addsrcrecordid>eNp1kE9LAzEQxYMoWGo_gLeAFz2k5t8mm6MUuxYKPbSel2Qz227p7tYkFfz2bqngQTwNw7zfm8dD6J7RKWNaP1NBlWSGcsFYzoQwV2jEaUaJzHJ1jUbnOzkLbtEkxsZRZpSQPDMjVBbNJ3Rk3nSeLDq8Ch4C3vRkfXJ7qBL4YcGPxXyxfsItpF3vcd0HnHaAj6F3B2hxTDZBC13CTYcjJOJsHDgPsdl2d-imtocIk585Ru_z183sjSxXxWL2siQVVzIR7ZSvuaqdUxqYca5SVuVec1dlkgHzXEuqLdSWgazyzHOXaVMLQaWqtPRijB4uvkOqjxPEVO77U-iGl6WgxuRKCcUGFbuoqtDHGKAuj6FpbfgqGS3PVZZ_qhyY6YWJdgu_rv8D3692ccU</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3099866361</pqid></control><display><type>article</type><title>Given-Find-In Order To-Subjected To (GFIS) method for the problem statement in set-based design</title><source>SAGE Complete</source><creator>Fernández-Caballero, Juan Carlos ; Hernández-Luna, Alberto A. ; Sobek, Durward K. ; Ramírez-Mendoza, Ricardo A.</creator><creatorcontrib>Fernández-Caballero, Juan Carlos ; Hernández-Luna, Alberto A. ; Sobek, Durward K. ; Ramírez-Mendoza, Ricardo A.</creatorcontrib><description>The Given-Find-Solution (GFS) method is a widely used procedure to systematically understand “what the problem is” in engineering problems. Nevertheless, the GFS method does not provide a clear guide on how to handle uncertainty, feasibility, and preference for design problems. Addressing this issue is crucial since the designer usually requires making assumptions to be able to propose functional solutions. The Given-Find-In Order To-Subjected To (GFIS) method and roadmap are here proposed to systematically state a design problem and requirements using fuzzy desirability functions to handle uncertainty, feasibility, and preference. The GFIS method lists the parameters, variables, specifications, restrictions, and preferences to facilitate the decision-making process. A comparative study was conducted with undergraduate students from Tecnológico de Monterrey enrolled in the course Design Methodologies. The students solved a band brake design problem before and after applying the GFIS method, and their performance was compared. The results showed a significant improvement in their decision-making ability, their capability to find feasible solutions, and the time required to make a design proposal.</description><identifier>ISSN: 0306-4190</identifier><identifier>EISSN: 2050-4586</identifier><identifier>DOI: 10.1177/03064190231181339</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Comparative Analysis ; Comparative studies ; Course Content ; Decision making ; Decision Making Skills ; Design ; Feasibility ; Functionals ; Preferences ; Students ; Uncertainty ; Undergraduate study</subject><ispartof>International journal of mechanical engineering education, 2024-10, Vol.52 (4), p.403-428</ispartof><rights>The Author(s) 2023</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c264t-7b6df26fbb67e19bbc6a68d72bc541e1d27407aefa1e4c85d2b579f33046c74d3</cites><orcidid>0000-0002-8300-7632</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/03064190231181339$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/03064190231181339$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21799,27903,27904,43600,43601</link.rule.ids></links><search><creatorcontrib>Fernández-Caballero, Juan Carlos</creatorcontrib><creatorcontrib>Hernández-Luna, Alberto A.</creatorcontrib><creatorcontrib>Sobek, Durward K.</creatorcontrib><creatorcontrib>Ramírez-Mendoza, Ricardo A.</creatorcontrib><title>Given-Find-In Order To-Subjected To (GFIS) method for the problem statement in set-based design</title><title>International journal of mechanical engineering education</title><description>The Given-Find-Solution (GFS) method is a widely used procedure to systematically understand “what the problem is” in engineering problems. Nevertheless, the GFS method does not provide a clear guide on how to handle uncertainty, feasibility, and preference for design problems. Addressing this issue is crucial since the designer usually requires making assumptions to be able to propose functional solutions. The Given-Find-In Order To-Subjected To (GFIS) method and roadmap are here proposed to systematically state a design problem and requirements using fuzzy desirability functions to handle uncertainty, feasibility, and preference. The GFIS method lists the parameters, variables, specifications, restrictions, and preferences to facilitate the decision-making process. A comparative study was conducted with undergraduate students from Tecnológico de Monterrey enrolled in the course Design Methodologies. The students solved a band brake design problem before and after applying the GFIS method, and their performance was compared. The results showed a significant improvement in their decision-making ability, their capability to find feasible solutions, and the time required to make a design proposal.</description><subject>Comparative Analysis</subject><subject>Comparative studies</subject><subject>Course Content</subject><subject>Decision making</subject><subject>Decision Making Skills</subject><subject>Design</subject><subject>Feasibility</subject><subject>Functionals</subject><subject>Preferences</subject><subject>Students</subject><subject>Uncertainty</subject><subject>Undergraduate study</subject><issn>0306-4190</issn><issn>2050-4586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kE9LAzEQxYMoWGo_gLeAFz2k5t8mm6MUuxYKPbSel2Qz227p7tYkFfz2bqngQTwNw7zfm8dD6J7RKWNaP1NBlWSGcsFYzoQwV2jEaUaJzHJ1jUbnOzkLbtEkxsZRZpSQPDMjVBbNJ3Rk3nSeLDq8Ch4C3vRkfXJ7qBL4YcGPxXyxfsItpF3vcd0HnHaAj6F3B2hxTDZBC13CTYcjJOJsHDgPsdl2d-imtocIk585Ru_z183sjSxXxWL2siQVVzIR7ZSvuaqdUxqYca5SVuVec1dlkgHzXEuqLdSWgazyzHOXaVMLQaWqtPRijB4uvkOqjxPEVO77U-iGl6WgxuRKCcUGFbuoqtDHGKAuj6FpbfgqGS3PVZZ_qhyY6YWJdgu_rv8D3692ccU</recordid><startdate>20241001</startdate><enddate>20241001</enddate><creator>Fernández-Caballero, Juan Carlos</creator><creator>Hernández-Luna, Alberto A.</creator><creator>Sobek, Durward K.</creator><creator>Ramírez-Mendoza, Ricardo A.</creator><general>SAGE Publications</general><general>Sage Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4T-</scope><orcidid>https://orcid.org/0000-0002-8300-7632</orcidid></search><sort><creationdate>20241001</creationdate><title>Given-Find-In Order To-Subjected To (GFIS) method for the problem statement in set-based design</title><author>Fernández-Caballero, Juan Carlos ; Hernández-Luna, Alberto A. ; Sobek, Durward K. ; Ramírez-Mendoza, Ricardo A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c264t-7b6df26fbb67e19bbc6a68d72bc541e1d27407aefa1e4c85d2b579f33046c74d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Comparative Analysis</topic><topic>Comparative studies</topic><topic>Course Content</topic><topic>Decision making</topic><topic>Decision Making Skills</topic><topic>Design</topic><topic>Feasibility</topic><topic>Functionals</topic><topic>Preferences</topic><topic>Students</topic><topic>Uncertainty</topic><topic>Undergraduate study</topic><toplevel>online_resources</toplevel><creatorcontrib>Fernández-Caballero, Juan Carlos</creatorcontrib><creatorcontrib>Hernández-Luna, Alberto A.</creatorcontrib><creatorcontrib>Sobek, Durward K.</creatorcontrib><creatorcontrib>Ramírez-Mendoza, Ricardo A.</creatorcontrib><collection>CrossRef</collection><collection>Docstoc</collection><jtitle>International journal of mechanical engineering education</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fernández-Caballero, Juan Carlos</au><au>Hernández-Luna, Alberto A.</au><au>Sobek, Durward K.</au><au>Ramírez-Mendoza, Ricardo A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Given-Find-In Order To-Subjected To (GFIS) method for the problem statement in set-based design</atitle><jtitle>International journal of mechanical engineering education</jtitle><date>2024-10-01</date><risdate>2024</risdate><volume>52</volume><issue>4</issue><spage>403</spage><epage>428</epage><pages>403-428</pages><issn>0306-4190</issn><eissn>2050-4586</eissn><abstract>The Given-Find-Solution (GFS) method is a widely used procedure to systematically understand “what the problem is” in engineering problems. Nevertheless, the GFS method does not provide a clear guide on how to handle uncertainty, feasibility, and preference for design problems. Addressing this issue is crucial since the designer usually requires making assumptions to be able to propose functional solutions. The Given-Find-In Order To-Subjected To (GFIS) method and roadmap are here proposed to systematically state a design problem and requirements using fuzzy desirability functions to handle uncertainty, feasibility, and preference. The GFIS method lists the parameters, variables, specifications, restrictions, and preferences to facilitate the decision-making process. A comparative study was conducted with undergraduate students from Tecnológico de Monterrey enrolled in the course Design Methodologies. The students solved a band brake design problem before and after applying the GFIS method, and their performance was compared. The results showed a significant improvement in their decision-making ability, their capability to find feasible solutions, and the time required to make a design proposal.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1177/03064190231181339</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0002-8300-7632</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0306-4190
ispartof International journal of mechanical engineering education, 2024-10, Vol.52 (4), p.403-428
issn 0306-4190
2050-4586
language eng
recordid cdi_proquest_journals_3099866361
source SAGE Complete
subjects Comparative Analysis
Comparative studies
Course Content
Decision making
Decision Making Skills
Design
Feasibility
Functionals
Preferences
Students
Uncertainty
Undergraduate study
title Given-Find-In Order To-Subjected To (GFIS) method for the problem statement in set-based design
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T08%3A48%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Given-Find-In%20Order%20To-Subjected%20To%20(GFIS)%20method%20for%20the%20problem%20statement%20in%20set-based%20design&rft.jtitle=International%20journal%20of%20mechanical%20engineering%20education&rft.au=Fern%C3%A1ndez-Caballero,%20Juan%20Carlos&rft.date=2024-10-01&rft.volume=52&rft.issue=4&rft.spage=403&rft.epage=428&rft.pages=403-428&rft.issn=0306-4190&rft.eissn=2050-4586&rft_id=info:doi/10.1177/03064190231181339&rft_dat=%3Cproquest_cross%3E3099866361%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3099866361&rft_id=info:pmid/&rft_sage_id=10.1177_03064190231181339&rfr_iscdi=true