A Flexible Robust Possibilistic Programming Approach for Sustainable Second-Generation Biogas Supply Chain Design under Multiple Uncertainties

The goal of this research is to develop a novel second-generation-based biogas supply chain network design (BG-SCND) model that takes into account the triple bottom line approach. Biogas promising renewable energy source can be obtained from variety easily accessible second-generation wastes, including animal manure, municipal waste, and agricultural leftovers. Integrated optimization generation system essential for speedy environmentally friendly transition sustainable biodiesel production. dynamic environment market significantly impairs decisions BG-SCND model; therefore, hybrid solution approach using flexible programming possibilistic suggested. To verify suggested solving problem, thorough computational analysis case study conducted. findings demonstrate considerable investment necessary attain social environmental well-being goals safeguard against epistemic uncertainty. Policymakers involved in planning production distribution projects may find proposed useful.