Método de apoio para a gestão de emissões de gases de efeito estufa em indústrias de transformação

• Ano de defesa: 2015
• Autor(a) principal: Henríquez, Oscar Mistage
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Positivo; Brasil; Pós-Graduação; Programa de Pós-Graduação em Gestão Ambiental; UP
• Palavras-chave em Português: Redução de dióxido de carbono; Indústria de transformação; Análise de decisão multicritério; CNPQ::CIENCIAS BIOLOGICAS; CNPQ::ENGENHARIAS::ENGENHARIA SANITARIA
• Link de acesso: https://repositorio.cruzeirodosul.edu.br/handle/123456789/2459

Greenhouse gas (GHG) management in industry is crucial for climate change mitigation and adaptation. In Brazil, the Climate Change National Policy (PNMC) is the main framework for GHG monitoring, reporting and verification in industry and sets a 5% emission reduction target for this sector until 2020. Additionally, PNMC fosters other strategies oriented to GHG mitigation in manufacturing industries, like: organizational risk reduction, cost savings, innovation encouragement and adaption to future legislations. However, most Brazilian companies do not take into account benefits resulting from these initiatives due to lack of methodologies for assessing GHG mitigation opportunities. In this context, multicriteria decision analysis (MCDA) methods have proved being useful tools for aiding on climate change mitigation and adaption decision problems. MCDA methods highlight for addressing nonmonetary subjective aspects like environmental or climate change related criteria. Hence, we develop a decision support method for GHG management in manufacturing industries using the Analytic Hierarchy Process (AHP) considering benefits, opportunities, costs and risks (BOCR). To build this method, we gathered information from the Brazilian corporate sustainability index for responsible investment ISE BM&BOVESPA, along with scientific studies which used MCDA methods for aiding on climate change mitigation and adaptation decisions. Our method was tested in two manufacturing industries located on the Curitiba Metropolitan Area (RMC) where managers selected GHG management alternatives for evaluation. Then, we performed a BOCR analysis using AHP to build up a ranking of the alternatives. A sensitivity analysis of the results revealed the method efficacy for measuring the alternatives profitability and highlighted the necessity of multidisciplinary team participation for more reliable outcomes. Furthermore, it is suggested the development of a computational program based on the method proposed, in order to enable its execution.