Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.