Sustainability assessment of biomass-based energy supply chain using multi-objective optimization model

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dc.authorid0000-0003-1411-0369
dc.authorscopusid55330793300
dc.contributor.authorKuşakcı, Ali Osman
dc.contributor.authorYıldız, Hatice Güneş
dc.contributor.authorAyvaz, Berk
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorGarg, Harish
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2023-05-09T06:05:39Z
dc.date.available2023-05-09T06:05:39Z
dc.date.issued2024
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
dc.description.abstractIn recent years, population growth and lifestyle changes have led to an increase in energy consumption worldwide. Providing energy from fossil fuels has negative consequences, such as energy supply constraints and overall greenhouse gas emissions. As the world continues to evolve, reducing dependence on fossil fuels and finding alternative energy sources becomes increasingly urgent. Renewable energy sources are the best way for all countries to reduce reliance on fossil fuels while reducing pollution. Biomass as a renewable energy source is an alternative energy source that can meet energy needs and contribute to global warming and climate change reduction. Among the many renewable energy options, biomass energy has found a wide range of application areas due to its resource diversity and easy availability from various sources all year round. The supply assurance of such energy sources is based on a sustainable and effective supply chain. Simultaneous improvement of the biomass-based supply chain's economic, environmental and social performance is a key factor for optimum network design. This study has suggested a multi-objective goal programming (MOGP) model to optimize a multi-stage biomass-based sustainable renewable energy supply chain network design. The proposed MOGP model represents decisions regarding the optimal number, locations, size of processing facilities and warehouses, and amounts of biomass and final products transported between the locations. The proposed model has been applied to a real-world case study in Istanbul. In addition, sensitivity analysis has been conducted to analyze the effects of biomass availability, processing capacity, storage capacity, electricity generation capacity, and the weight of the goals on the solutions. To realize sensitivity analysis related to the importance of goals, for the first time in the literature, this study employed a spherical fuzzy set-based analytic hierarchy method to determine the weights of goals.
dc.identifier.citationYıldız, H. G., Ayvaz, B., Kuşakcı, A. O., Deveci, M. ve Garg, H. (2024). Sustainability assessment of biomass-based energy supply chain using multi-objective optimization model. Environment, Development and Sustainability, 26(6), 15451–15493. https://doi.org/10.1007/s10668-023-03258-1
dc.identifier.doi10.1007/s10668-023-03258-1
dc.identifier.endpage15493
dc.identifier.issn1387585X
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85153745156
dc.identifier.scopusqualityQ1
dc.identifier.startpage15451
dc.identifier.urihttps://doi.org/10.1007/s10668-023-03258-1
dc.identifier.urihttps://hdl.handle.net/20.500.12154/2252
dc.identifier.volume26
dc.identifier.wosWOS:000977322700001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorKuşakcı, Ali Osman
dc.institutionauthorid0000-0003-1411-0369
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEnvironment, Development and Sustainability
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBioenergy
dc.subjectBiomass
dc.subjectBiomass Supply Chain
dc.subjectOptimization
dc.subjectSustainable Biomass Supply Chain
dc.titleSustainability assessment of biomass-based energy supply chain using multi-objective optimization model
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication21653521-557b-4059-b2be-1fb429b3258a
relation.isAuthorOfPublication.latestForDiscovery21653521-557b-4059-b2be-1fb429b3258a
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

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