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

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  • Yılmaz Balaman, Şebnem
  • Selim, Hasan

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.

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  • Yılmaz Balaman, Şebnem & Selim, Hasan, 2014. "A fuzzy multiobjective linear programming model for design and management of anaerobic digestion based bioenergy supply chains," Energy, Elsevier, vol. 74(C), pages 928-940.
    • Handle: RePEc:eee:energy:v:74:y:2014:i:c:p:928-940
    DOI: 10.1016/j.energy.2014.07.073
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    Cited by:

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    7. Kozarević, Safet & Puška, Adis, 2018. "Use of fuzzy logic for measuring practices and performances of supply chain," Operations Research Perspectives, Elsevier, vol. 5(C), pages 150-160.
    8. Luis Puigjaner & Mar Pérez-Fortes & José M. Laínez-Aguirre, 2015. "Towards a Carbon-Neutral Energy Sector: Opportunities and Challenges of Coordinated Bioenergy Supply Chains-A PSE Approach," Energies, MDPI, vol. 8(6), pages 1-48, June.
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