Contribution of Bayesian networks as a robust tool in risk assessment under sustainability considerations, a case study of Bandarabbas refinery.

ABSTRACT:

Background and purpose

Refineries are among the industrial centers that supply the energy and raw materials to downstream industries. To achieve sustainable development goals, creating appropriate balance between economical and environmental goals has always been the focus of managers and policy makers in the societies. Bayesian Network model has become a robust tool in the field of risk assessment and uncertainty management in refineries. The focus of this research is to prioritizing different units from the point of view of social and ecological aspects for facilitating the decision making process in the context of waste material treatment in Bandarabbas refinery in line with the sustainable development goals.

Materials and methods

The methodology of this research is based

SUBMITTER: Saeedi M 

PROVIDER: S-EPMC10126859 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature