Mutriss a New Method for Material Selection Problems Using Multiple-Triangles Scenarios

31 Pages Posted: 10 Sep 2022

See all articles by Shervin Zakeri

Shervin Zakeri

affiliation not provided to SSRN

Prasenjit Chatterjee

affiliation not provided to SSRN

Naoufel Cheikhrouhou

Geneva School of Business Administration

Dimitri Konstantas

affiliation not provided to SSRN

Yingjie Yang

De Montfort University

Abstract

Material selection is a complex problem for product design and development in various engineering applications. To select an appropriate material among a set of materials, current approaches evaluate against a set of criteria that could be formulated as a multiple-criteria decision-making (MCDM) problem. In reviewing previous studies, we identified significant differences in the results associated with the different MCDM methods used for the same material selection problem, which potentially can lead to various problems in the product design. This paper proposes a novel MCDM approach called MUltiple-TRIangles ScenarioS (MUTRISS) to solve this challenge. The calculation of the areas that alternatives occupy in an n-dimensional space is the basis of MUTRISS method, which is done utilizing analytic geometry ideas and converting each alternative into n-edges forms. Architected on incompleteness in knowledge/information of decision-makers (DMs), MUTRISS is developed in two scenarios. To demonstrate the application and validation of the MUTRISS method, three cases of material selection are addressed. The relative closeness ratio, robustness analysis, compromise ranking coefficient, and similarity degree concepts are four new statistical measures that are introduced to analyze the results of various MCDM methods and compare them to MUTRISS. The results showed that the first scenario has a more robust procedure and yields more reliable results while the second scenario of MUTRISS functions analogous to distance-based MCDM methods.

Keywords: material selection, Analytic Geometry, MUTRISS, Relative closeness ratio, Robustness analysis, compromise ranking coefficient, Similarity degree

Suggested Citation

Zakeri, Shervin and Chatterjee, Prasenjit and Cheikhrouhou, Naoufel and Konstantas, Dimitri and Yang, Yingjie, Mutriss a New Method for Material Selection Problems Using Multiple-Triangles Scenarios. Available at SSRN: https://ssrn.com/abstract=4215311 or http://dx.doi.org/10.2139/ssrn.4215311

Shervin Zakeri (Contact Author)

affiliation not provided to SSRN ( email )

No Address Available

Prasenjit Chatterjee

affiliation not provided to SSRN ( email )

No Address Available

Naoufel Cheikhrouhou

Geneva School of Business Administration ( email )

Rue de la Tambourine 17
Geneva, Carouge 1227
Switzerland

Dimitri Konstantas

affiliation not provided to SSRN ( email )

No Address Available

Yingjie Yang

De Montfort University ( email )

The Gateway
Leicester, LE1 9BH
United Kingdom

Do you have negative results from your research you’d like to share?

Paper statistics

Downloads
35
Abstract Views
290
PlumX Metrics