A stochastic bilevel model to manage symbiotic flows in an Industrial Symbiosis network under demand uncertainty
Yazarlar (4)
Gülesin Sena Daş Leicester Castle Business School, Türkiye
Dr. Öğr. Üyesi Murat YEŞİLKAYA Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Büşra Altınkaynak Adana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi, Türkiye
Burak Birgören Tobb Ekonomi ve Teknoloji Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Computers & Industrial Engineering (Q1)
Dergi ISSN 0360-8352 Dergi Bilgileri (2026)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 01-2026
Cilt / Sayı / Sayfa 213 / 1 / 1– DOI 10.1016/j.cie.2026.111800
Makale Linki https://doi.org/10.1016/j.cie.2026.111800
UAK Araştırma Alanları
Yöneylem Araştırması Modelleme ve Optimizasyon
Özet
Industrial symbiosis (IS) networks offer a valuable means of reducing environmental impacts by optimizing by-products utilization and minimizing resource consumption. However, managing these networks remains challenging due to uncertainties in supply and demand, as well as the hierarchical decision-making structures within eco-industrial parks (EIPs). This study presents a novel stochastic bilevel programming model to coordinate by-product flows in an IS network. The model balances the EIP authority’s objective of minimizing raw material use with companies’ objectives of maximizing profits under uncertain demand. Unlike single-objective models, our bilevel approach uncovers intricate relationships between conflicting objectives. Applied to a theoretical IS network in the forest products industry, the model shows that demand fluctuations disrupt material flows and increase raw material consumption …
Anahtar Kelimeler
Bilevel programming | Demand uncertainty | Industrial symbiosis networks | OR for environment | Stochastic programming