A fuzzy multiobjective linear programming model for design and management of anaerobic digestion based bioenergy supply chains

•An MILP based DSS is developed for design and management of bioenergy supply chains.•The proposed DSS integrates multiobjective decision making and fuzzy modeling.•Specific characteristics of anaerobic digestion systems are represented by the model.•The model is solved by using different FGP approaches.•Computational results expose that the model can effectively be used in practice.

The purpose of this study is to develop a decision support system (DSS) for design and management of anaerobic digestion based biomass to energy supply chains in a cost effective and environment friendly manner by tackling inherent uncertainties. To this aim, a fuzzy multiobjective mixed integer linear programming (MILP) model is constructed. To explore the viability of the proposed model, computational experiments are performed on a real world problem. The results reveal that the proposed model can effectively be used in practice.