Developing a multi-objective possibilistic programming model for designing a second-generation biodiesel supply chain network considering total cost and environmental impact minimization.

Presenting a new formulation of possibilistic programming method which is able to minimize the total mean and risk values of possibilistic-based uncertain problems.

Proposing a hybrid solution approach based on flexible lexicographic and augmented ɛ-constraint methods to find Pareto-optimal solutions.

Conducting a real-life case study in Iran to evaluate the performance and efficiency of the proposed model and solution approaches.