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

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Title: Given-Find-In Order To-Subjected To (GFIS) method for the problem statement in set-based design.
Authors: Fernández-Caballero, Juan Carlos1 (AUTHOR) juan_carlos.fernandez@tec.mx, Hernández-Luna, Alberto A.1 (AUTHOR), Sobek II, Durward K.2 (AUTHOR), Ramírez-Mendoza, Ricardo A.1 (AUTHOR)
Source: International Journal of Mechanical Engineering Education. Oct2024, Vol. 52 Issue 4, p403-428. 26p.
Subjects: Concurrent engineering, Label design, Fuzzy sets, Undergraduates, Decision making
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 FROM AUTHOR]
Copyright of International Journal of Mechanical Engineering Education is the property of Sage Publications Inc. 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.)
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  Data: Given-Find-In Order To-Subjected To (GFIS) method for the problem statement in set-based design.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Mechanical+Engineering+Education%22">International Journal of Mechanical Engineering Education</searchLink>. Oct2024, Vol. 52 Issue 4, p403-428. 26p.
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  Data: <searchLink fieldCode="DE" term="%22Concurrent+engineering%22">Concurrent engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Label+design%22">Label design</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+sets%22">Fuzzy sets</searchLink><br /><searchLink fieldCode="DE" term="%22Undergraduates%22">Undergraduates</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink>
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  Data: 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 FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Mechanical Engineering Education is the property of Sage Publications Inc. 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.)
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        Value: 10.1177/03064190231181339
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        Text: English
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      – SubjectFull: Fuzzy sets
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              Text: Oct2024
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