Kızılkaya Aydoğan, Emel KizilkayaAtes, NurayUzal, NiǧmetOzmen, Mihrimah01. Abdullah Gül University02.03. İnşaat Mühendisliği02. Mühendislik Fakültesi2025-09-252025-09-252014https://hdl.handle.net/20.500.12573/3610Computer and Industrial Engineering; et al.; Gaziantep University; Istanbul Commercial University; Journal of Intelligent Manufacturing Systems; Sakarya University, Department of Industrial EngineeringSmall and medium-sized enterprises (SMEs) constitute a major part of the Turkish economy, accounting for a large proportion of the country's businesses and total employment. Although the SMEs are known as important contributors to environmental pollution, the relative contribution of SMEs to the total environmental impacts of industrial is unknown. The most important environmental issues related with aluminum industries are emission of gases, wastewater and solid wastes from aluminum production. In multi-criteria decision making (MCDM) problems in some situations, decision makers (DMs) don't or can't express their preferences obviously. In these situations for decision making, stochastic multi-criteria acceptability analysis (SMAA-2) can be applied. In this study, a multi-criteria decision making model is presented to determine higher priority waste types (air and solid wastes, wastewaters) among the three firms. We used stochastic data by applying and the SMAA-2 results are given. © 2015 Elsevier B.V., All rights reserved.eninfo:eu-repo/semantics/closedAccessAcceptability AnalysisAluminum ManufacturingStochastic Multi-Criteria Decision MakingWaste ManagementAluminumEnvironmental ImpactManufactureSolid WastesStochastic SystemsWaste ManagementAcceptability AnalysisAluminum ManufacturingEnvironmental IssuesEnvironmental PollutionsMulti Criteria Decision MakingMulti-Criteria Decision-Making ModelsRelative ContributionSmall and Medium-Sized EnterpriseDecision MakingDetermining the Priority Waste in Aluminum Manufacturing Sector Using the SMSA-2 Method: A Case Study of KayseriConference Object2-s2.0-84923886595