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A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs
Version 1
: Received: 4 December 2023 / Approved: 4 December 2023 / Online: 5 December 2023 (04:35:25 CET)
A peer-reviewed article of this Preprint also exists.
Olabanji, O.M. A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs. Appl. Sci. 2024, 14, 762. Olabanji, O.M. A Treatise on Reconnoitering the Suitability of Fuzzy MARCOS for Assessment of Conceptual Designs. Appl. Sci. 2024, 14, 762.
Abstract
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 design. 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 fuzzy MARCOS model was able to rank the conceptual designs and 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 a 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 varies from the best and worst design.
Keywords
Design concept selection; Fuzzy MARCOS; Design process; Multicriteria decision making; Briquetting machine
Subject
Engineering, Industrial and Manufacturing Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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