A Robust Possibilistic Bi-Objective Mixed Integer Model for Green Biofuel Supply Chain Design under Uncertain Conditions

In recent years, concerns regarding issues such as climate change, greenhouse gas emissions, fossil reserve dependency, and petroleum price fluctuation have led countries to focus on renewable energies. Meanwhile, in developing countries, designing an appropriate biofuel supply chain network environmental competencies is important problem. This paper presents a new bi-objective mixed integer mathematical model aiming minimize CO2 emission total costs the process of chain, creating suitable green network. this respect, demand are regarded uncertain data address real complex cases. Moreover, SAUGMECON approach was implemented construct single objective model, obtained Pareto optimal points were depicted analyzed. Thereby, robust possibilistic programming proposed handle existing imprecise data. Furthermore, applicability performance demonstrated based experimental example. results from compared with its crisp form show robustness reliability model.