A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs
The development of an equipment starts from an effective design activity. The concept selection process is an activity that is entailed in the design stage, and its relevance in the design process cannot be overemphasized because it informs the choice of optimal conceptual design from a set of alter...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/2/762 |
| _version_ | 1797340167067926528 |
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| author | Olayinka Mohammed Olabanji |
| author_facet | Olayinka Mohammed Olabanji |
| author_sort | Olayinka Mohammed Olabanji |
| collection | DOAJ |
| description | The development of an equipment starts from an effective design activity. The concept selection process is an activity that is entailed in the design stage, and its relevance in the design process cannot be overemphasized because it informs the choice of optimal conceptual design from a set of alternative designs. Hence, there is a need to accrue efforts to the concept selection process because of its importance. This article presents the identification of optimal conceptual design as a multicriteria decision-making model by assessing the suitability of fuzzy Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). The fuzzy MARCOS model was developed to access four alternative conceptual designs of briquetting machines considering eight design features with several sub-features. The results obtained from the decision analysis showed that the fuzzy MARCOS model was able to rank the designs based on their performance and the final values of the overall utility function. The overall utility function is based on the utility degree of the conceptual design alternatives in terms of the best and worst designs identified by the model. The utility degree created a platform for comparison on how the design alternatives varied from the best and worst designs. The results obtained from the MARCOS method were validated using the TOPSIS method and modified TOPSIS method, and the results obtained showed that the MARCOS method is in conformity with the validation results. |
| first_indexed | 2024-03-08T09:59:07Z |
| format | Article |
| id | doaj.art-b0fcb8f963a84d8fa748bf3e105f6452 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-08T09:59:07Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-b0fcb8f963a84d8fa748bf3e105f64522024-01-29T13:44:16ZengMDPI AGApplied Sciences2076-34172024-01-0114276210.3390/app14020762A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual DesignsOlayinka Mohammed Olabanji0Department of Industrial Engineering, Faculty of Engineering and the Built Environment, Tshwane University of Technology Akure, Pretoria 0001, South AfricaThe development of an equipment starts from an effective design activity. The concept selection process is an activity that is entailed in the design stage, and its relevance in the design process cannot be overemphasized because it informs the choice of optimal conceptual design from a set of alternative designs. Hence, there is a need to accrue efforts to the concept selection process because of its importance. This article presents the identification of optimal conceptual design as a multicriteria decision-making model by assessing the suitability of fuzzy Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). The fuzzy MARCOS model was developed to access four alternative conceptual designs of briquetting machines considering eight design features with several sub-features. The results obtained from the decision analysis showed that the fuzzy MARCOS model was able to rank the designs based on their performance and the final values of the overall utility function. The overall utility function is based on the utility degree of the conceptual design alternatives in terms of the best and worst designs identified by the model. The utility degree created a platform for comparison on how the design alternatives varied from the best and worst designs. The results obtained from the MARCOS method were validated using the TOPSIS method and modified TOPSIS method, and the results obtained showed that the MARCOS method is in conformity with the validation results.https://www.mdpi.com/2076-3417/14/2/762design concept selectionfuzzy MARCOSdesign processmulti-criteria decision makingbriquetting machine |
| spellingShingle | Olayinka Mohammed Olabanji A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs Applied Sciences design concept selection fuzzy MARCOS design process multi-criteria decision making briquetting machine |
| title | A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs |
| title_full | A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs |
| title_fullStr | A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs |
| title_full_unstemmed | A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs |
| title_short | A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs |
| title_sort | treatise on reconnoitering the suitability of fuzzy marcos for assessment of conceptual designs |
| topic | design concept selection fuzzy MARCOS design process multi-criteria decision making briquetting machine |
| url | https://www.mdpi.com/2076-3417/14/2/762 |
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