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

Şebnem Yılmaz Balaman and Hasan Selim

Energy, 2014, vol. 74, issue C, 928-940

Abstract: 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.

Keywords: Bioenergy supply chain design; Biogas; Anaerobic digestion; Mixed integer linear programming; Fuzzy goal programming (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:74:y:2014:i:c:p:928-940

DOI: 10.1016/j.energy.2014.07.073

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