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Biodiesel supply chain optimization via a hybrid system dynamics-mathematical programming approach

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  • Azadeh, Ali
  • Vafa Arani, Hamed

Abstract

Development of biofuels causes reduction of environmental pollution, but certain limitations affect their production. In this research, a hybrid system dynamics-mathematical programming approach is developed to design and plan a biodiesel supply chain from biomass fields to consumption markets. The supply chain faces limitations in biodiesel production. Water resource limitations for biodiesel production, land limitations for biomass procurement, and technological issues are the most important limitations considered in the system dynamics model. In addition, competition between fossil fuels and biodiesel is taken into account. The proposed methodology, firstly, estimates the most important parameters in biodiesel supply chain in a given planning horizon. Then, estimated parameters are used as inputs of the mathematical model and the optimal supply chain decisions are made by means of a stochastic mixed-integer programming model. Besides, a scenario-based approach is used to model the disruption risks for links and biomass fields. Finally, a numerical experiment is presented to show the applicability of the methodology according to some interviews with experts in Iran. Results demonstrate the potential appropriate market of biodiesel in Iran while several resource and technology limitations and environmental pollution avoid growth of biodiesel market. Moreover, a sensitivity analysis is performed on risk preferences of decision makers and government policies adopted to improve the biodiesel market.

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  • Azadeh, Ali & Vafa Arani, Hamed, 2016. "Biodiesel supply chain optimization via a hybrid system dynamics-mathematical programming approach," Renewable Energy, Elsevier, vol. 93(C), pages 383-403.
    • Handle: RePEc:eee:renene:v:93:y:2016:i:c:p:383-403
    DOI: 10.1016/j.renene.2016.02.070
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    Cited by:

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    3. Ramos-Hernández, Rocío & Sánchez-Ramírez, Cuauhtémoc & Mota-López, Dulce Rocio & Sandoval-Salas, Fabiola & García-Alcaraz, Jorge Luis, 2021. "Evaluation of bioenergy potential from coffee pulp trough System Dynamics," Renewable Energy, Elsevier, vol. 165(P1), pages 863-877.
    4. Eirini Aivazidou & Dimitrios Aidonis & Naoum Tsolakis & Charisios Achillas & Dimitrios Vlachos, 2022. "Wine Supply Chain Network Configuration under a Water Footprint Cap," Sustainability, MDPI, vol. 14(15), pages 1-16, August.
    5. Ghadge, Abhijeet & van der Werf, Sjoerd & Er Kara, Merve & Goswami, Mohit & Kumar, Pankaj & Bourlakis, Michael, 2020. "Modelling the impact of climate change risk on bioethanol supply chains," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    6. Bairamzadeh, Samira & Saidi-Mehrabad, Mohammad & Pishvaee, Mir Saman, 2018. "Modelling different types of uncertainty in biofuel supply network design and planning: A robust optimization approach," Renewable Energy, Elsevier, vol. 116(PA), pages 500-517.
    7. Shohre Khoddami & Fereshteh Mafakheri & Yong Zeng, 2021. "A System Dynamics Approach to Comparative Analysis of Biomass Supply Chain Coordination Strategies," Energies, MDPI, vol. 14(10), pages 1-35, May.
    8. Chávez, Marcela María Morales & Sarache, William & Costa, Yasel, 2018. "Towards a comprehensive model of a biofuel supply chain optimization from coffee crop residues," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 136-162.

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