An integrated fuzzy SWARA and fuzzy AD approach for outsourcing provider selection

Abstract

Purpose Unlike previous literature, this study offers a novel integrated fuzzy approach to the field of outsourcing decisions. The purpose of this paper is to use design ranges of evaluation criteria that satisfy the functional requirements (FRs) of decision makers to solve the outsourcing provider selection problem. Design/methodology/approach In this study, considering the expected significance of outsourcing evaluation criteria, and the FRs of decision makers expressed in linguistic terms, a robust multi-criteria decision-making (MCDM) tool based on the integrated use of fuzzy Step-wise Weight Assessment Ratio Analysis and weighted fuzzy axiomatic design methods is proposed for use in decision process. Findings The proposed method is applied to a Turkish chemical company. A sensitivity analysis is performed and the outcomes of the proposed integrated framework are compared with those of other MCDM methods such as fuzzy-based Technique for Order Preference by Similarity to Ideal Solution, fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje and fuzzy Multi-Objective Optimization on the basis of Ratio Analysis. This validates the usefulness and practicality of the proposed methodology. Practical implications The main contribution of this study is that it defines specific requirements that will assist company managers in eliminating alternatives that do not satisfy the needs and expectations of their company. Originality/value This paper compares the present study with other studies in the field of manufacturing. Additionally, it provides a well-documented case study, which makes the paper of value to researchers interested in the practical applications of MCDM methods.

An analysis of the logistics performance index of EU countries with an integrated MCDM model

“…The CRITIC method has been used to solve different MCDM problems, such as material selection (Jahan, Mustapha, Sapuan, Ismail, & Bahraminasab, 2012), the evaluation of performance of logistics companies (Çakır & Perçin, 2013), the evaluation of performance of third-party logistics companies (Keshavarz Ghorabaee, Amiri, Zavadskas, & Antuchevičienė, 2017), air conditioner selection (Vujicic, Papic, & Blagojevic, 2017), and the evaluation of performance of a cargo company (Ulutaş & Karaköy, 2019). The SWARA method has been used to solve different MCDM problems such as supplier selection (Alimardani, Hashemkhani Zolfani, Aghdaie, & Tamošaitiene, 2013), packaging design selection (Stanujkic, Karabasevic, & Zavadskas, 2015), personnel selection (Heidary Dahooie, Beheshti Jazan Abadi, Vanaki, & Firoozfar, 2018) and outsourcing provider selection (Perçin, 2019). The PIV method has been used to solve only two MCDM problems which are the selection of e-learning websites (Khan, Ansari, Siddiquee, & Khan, 2019) and the evaluation of experiments (Yahya, Asjad, & .…”

Spherical fuzzy SWARA-MARCOS approach for green supplier selection

“…In the literature, many research combined SWARA and fuzzy sets. Some of these are those: ordinary fuzzy-SWARA (Perçin, 2019), hesitant fuzzy-SWARA (Kaya & Erginel, 2020), symmetric interval type-2 fuzzy-SWARA (Keshavarz- Ghorabaee, 2018), neutrosophic fuzzy-SWARA (Rani & Mishra, 2020). In 2018, as an extension of fuzzy sets, spherical fuzzy numbers are introduced (Gündoğdu & Kahraman, 2019a).…”

Swara Ve Mairca Yöntemleri̇ İle Catering Fi̇rmasi Seçi̇mi̇

“…ÇKKV yöntemlerinin diğer bir faydası da birden fazla disiplinin bir arada olmasını ve karar vericinin birden fazla boyutta değerlendirmesini sağlamasıdır (Ersöz vd., 2018 (Karabasevic vd., 2016), ev planı şekli seçimi (Juodagalvienė vd., 2017), kazı projelerindeki risklerin değerlendirilmesi (Valipour vd., 2017), lojistik sektöründeki şirketlerin performans ölçümü (Özbek ve Demirkol, 2018) ve alışveriş sitelerinin değerlendirilmesi (Çakır vd., 2018). Ayrıca bu yöntemin bulanık (Mavi vd., 2017;Zarbakhshnia vd., 2018;Perçin, 2019), gri (Mavi vd., 2018) ve kaba küme tabanlı (Zavadskas vd., 2018) Gelecek bölümde bu çalışmada kullanılan yöntemlerin (SWARA ve MAIRCA) metodolojileri hakkında bilgiler sunulacaktır.…”