Title: Use of a multicriteria model for evaluating the use of sustainable practices in a clothing industry

Authors: Deoclécio Junior Cardoso Da Silva; Leoni Pentiado Godoy; Taís Pentiado Godoy; Daniel Benitti Lorenzett; Roger Da Silva Wegner; Clandia Maffini Gomes

Addresses: University Federal of Santa Maria, Santa Maria, Av. Roraima, 1000 – Camobi, RS, 97105-900, Rio Grande do Sul, Brazil ' University Federal of Santa Maria, Santa Maria, Av. Roraima, 1000 – Camobi, RS, 97105-900, Rio Grande do Sul, Brazil ' University Federal of Santa Maria, Santa Maria, Av. Roraima, 1000 – Camobi, RS, 97105-900, Rio Grande do Sul, Brazil ' University Federal of Santa Maria, Santa Maria, Av. Roraima, 1000 – Camobi, RS, 97105-900, Rio Grande do Sul, Brazil ' University Federal of Santa Maria, Santa Maria, Av. Roraima, 1000 – Camobi, RS, 97105-900, Rio Grande do Sul, Brazil ' University Federal of Santa Maria, Santa Maria, Av. Roraima, 1000 – Camobi, RS, 97105-900, Rio Grande do Sul, Brazil

Abstract: This study aims to use a multicriteria model to evaluate sustainable practices in sectors of a garment industry. Therefore, a theoretical basis was formed and steps were implemented regarding the case study, using not only the sustainability, but also the synchronisation of sectors in the company. The multicriteria decision support method fuzzy TOPSIS was used to evaluate the performance of alternatives. The results showed that the use of this method to evaluate the sectors can help managers to make decisions, so that the company improves more and more in the aspect of a sustainable experience. Other categories, such as the general direction of the company, can be considered in future studies. Previous research focused on theoretical studies on sustainability. This study showed the mathematical models to define the best alternative of sustainability in the manufacturing industries.

Keywords: sustainable practices; multicriteria model; fuzzy TOPSIS; clothing industry; sensitivity analysis.

DOI: 10.1504/IJADS.2021.113531

International Journal of Applied Decision Sciences, 2021 Vol.14 No.2, pp.185 - 207

Received: 28 Mar 2019
Accepted: 29 Nov 2019
Published online: 10 Mar 2021 *

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