A two-stage stochastic model for an industrial symbiosis network under uncertain demand
   
Yazarlar (3)
Gülesin Sena Daş
Kırıkkale Üniversitesi, Türkiye
Dr. Öğr. Üyesi Murat YEŞİLKAYA Tokat Gaziosmanpaşa 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 Applied Mathematical Modelling (Q1)
Dergi ISSN 0307-904X Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 01-2024
Cilt / Sayı / Sayfa 125 / 1 / 444–462 DOI 10.1016/j.apm.2023.10.007
Makale Linki http://dx.doi.org/10.1016/j.apm.2023.10.007
Özet
Industrial Symbiosis (IS) networks are structures built by volunteer companies with the aim of exchanging unused or residual resources, benefiting all participating companies. The profitability of these volunteer companies is critical as it affects the sustainability of these networks. Fluctuations in a participating company's production level can potentially disrupt its network by altering the quantity and availability of wastes and by-products. In light of these considerations, we analyse the impact of fluctuations in demand for final products of the companies on company profitability, and waste and by-product usage. For this purpose, we formulated a two-stage stochastic programming model and solved it using the Sample Average Approximation (SAA) method. We tested our model on a theoretical IS network comprising companies in the forest products industry. The results demonstrate that companies in the network keep …
Anahtar Kelimeler
Circular economy | Industrial symbiosis | OR in environment and climate change | Production planning | Two-stage stochastic programming
Science Direct
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 23
Scopus 22
Web of Science 17
A two-stage stochastic model for an industrial symbiosis network under uncertain demand

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