A novel two-echelon sustainable network design and optimization under a fuzzy environment: a healthcare case study
Engineering Optimization, cilt.58, sa.4, ss.1066-1100, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 58 Sayı: 4
- Basım Tarihi: 2026
- Doi Numarası: 10.1080/0305215x.2025.2501645
- Dergi Adı: Engineering Optimization
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, zbMATH, Academic Search Ultimate (EBSCO), Engineering Source (EBSCO), Materials Science & Engineering Collection (ProQuest), Technology Collection (ProQuest)
- Sayfa Sayıları: ss.1066-1100
- Anahtar Kelimeler: adaptive variable neighbourhood search, electric vehicle fleet, fuzziness, logistics, Sustainable blood supply chain
- Ondokuz Mayıs Üniversitesi Adresli: Evet
Özet
The healthcare system relies on a complex blood supply chain involving various echelons, such as blood production, collection and distribution. Blood products are also perishable, so they must be transported quickly, safely and cost-effectively. Further, fuzzy parameters, such as red blood cells, plasma and platelets, are considered because of uncertainty. This study presents a Fuzzy Sustainable Blood Supply Chain Network Design Problem with an Electric vehicle fleet (FSBSCNDP-E). The goal is to develop and optimize a novel, efficient two-echelon blood supply chain network incorporating an electric vehicle fleet. Another contribution is the usage of zero-to-low-emission vehicles in the network design to achieve sustainable transportation goals. Also, the presented problem is formulated as a fuzzy mixed-integer linear programming model. Next, the study proposes an Adaptive Variable Neighbourhood Search (AVNS) framework combined with problem-specific intensification procedures. Finally, the study presents a scenario analysis with insights into sustainability and time-related and cost-related objectives.