A Fuzzy ANP Framework for Reducing Carbon Footprint in Petroleum Industry

Rising nations like India's petroleum industry are among the quickest developing industries and contribute to financial evolution. The carbon footprint (CF) from a petroleum industry containing a wide variety of methane, carbon dioxide, nitrous oxide and fluorinated gases. These compounds are present as a very complicated form in the industry that is unsafe for the environment, indirectly or directly. Intending to achieve zero-emission, the paper aims to find the most influential risk that generates carbon footprint in the south Indian petroleum industry. Therefore, one of CF's major issues is recognizing and ranking the various risks and determining appropriate solutions for solving them at the time of risk occurrence. Regarding this issue, the multi-criteria decision-making (MCDM) based Fuzzy Analytic Network Process (Fuzzy ANP) has been used to examine the CF risks. Risk factors are identified based on the questionnaire survey method. The global weight of every risk factor was calculated as per the proposed framework. The outcomes depicted that training and competence, environmental disasters and climate change are the most influential ones. In addition to this, this research work provides some useful guidelines/implications for industrial managers regarding the reduction of carbon emission.