A two-stage stochastic model for an industrial symbiosis network under uncertain demand

Basit Öğe Kaydı
dc.authoridBirgoren, Burak/0000-0001-9045-6092
dc.authoridYESILKAYA, MURAT/0000-0002-4440-1311
dc.contributor.authorDas, Guelesin Sena
dc.contributor.authorYesilkaya, Murat
dc.contributor.authorBirgoeren, Burak
dc.date.accessioned2025-01-21T16:35:26Z
dc.date.available2025-01-21T16:35:26Z
dc.date.issued2024
dc.departmentKırıkkale Üniversitesi
dc.description.abstractIndustrial 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 exchanging by-products and remain profitable despite uncertainties in demand. Consequently, we conclude that the established network exhibits resilience to demand fluctuations, which is an important aspect of its sustainability.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [120M223]
dc.description.sponsorshipWe are grateful for the comments provided by the reviewers and editors. In addition, research in this study is supported by The Scientific and Technological Research Council of Turkey (TUBITAK) under grant number 120M223.
dc.identifier.doi10.1016/j.apm.2023.10.007
dc.identifier.endpage462
dc.identifier.issn0307-904X
dc.identifier.issn1872-8480
dc.identifier.scopus2-s2.0-85174206157
dc.identifier.scopusqualityQ1
dc.identifier.startpage444
dc.identifier.urihttps://doi.org/10.1016/j.apm.2023.10.007
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24125
dc.identifier.volume125
dc.identifier.wosWOS:001093905700001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofApplied Mathematical Modelling
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectOR in environment and climate change; Circular economy; Industrial symbiosis; Production planning; Two-stage stochastic programming
dc.titleA two-stage stochastic model for an industrial symbiosis network under uncertain demand
dc.typeArticle

Dosyalar

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu