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 |
|---|---|
| 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 |