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.