In the global competitive environment, businesses have to choose the most suitable third-party logistics company for logistics activities that are outside their core competencies in order to increase quality and reduce costs. Most decision makers make this choice using fuzzy set-based decision-making methods that reflect the uncertainty of real life. In this study, for the first time in the literature, a q-rung orthopair fuzzy set-based decision-making approach is proposed for third-party logistics provider selection. In the study using the TOPSIS method, 10 criteria and the weights of these criteria were determined for 5 alternative companies, the evaluations of decision makers were aggregated, and the alternatives were ranked.
Multiple-criteria decision making methods third parthy logistics provider selection q-rung orthopair fuzzy sets TOPSIS
Birincil Dil | İngilizce |
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Konular | Endüstri Mühendisliği |
Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 30 Haziran 2021 |
Gönderilme Tarihi | 22 Aralık 2020 |
Kabul Tarihi | 31 Mart 2021 |
Yayımlandığı Sayı | Yıl 2021 Cilt: 5 Sayı: 1 |