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- W3092816119 abstract "Biomass can play a crucial role as one of the main sources of renewable energies. As logistics holds a significant share of biomass cost, efficient biomass supply chains must be designed to provide bio-refineries with adequate quantities of biomass at reasonable prices and appropriate times. This thesis focuses on modeling and optimization of multi-biomass supply chains for several bio-refineries. A data model is developed to list, analyze and structure the set of required data, in a logical way. The result is a set of tables that can be loaded into mathematical models for solving optimization problems. Then, a multi-period mixed integer linear programming model is proposed to optimize a multi-biomass supply chains for several bio-refineries, at the tactical and strategic level. Refineries can be already placed or located by the model. The aim is to minimize the total costs, including biomass production, storage, handling, refineries setup and transportation costs, while satisfying the demand of refineries in each period. Additionally, a multi-objective model is developed to optimize simultaneously the economic and environmental performance of biomass supply chains. The model is solved by using the e-constraint method. Furthermore, large-scale tests on real data for two regions of France (Picardie & Champagne-Ardenne) are prepared to evaluate the proposed models. Finally, two-phase approaches are proposed to solve large-scale instances in reasonable running times, while evaluating the loss of optimality compared to the exact model" @default.
- W3092816119 created "2020-10-22" @default.
- W3092816119 creator A5000930331 @default.
- W3092816119 date "2017-12-20" @default.
- W3092816119 modified "2023-09-23" @default.
- W3092816119 title "Modeling and Optimization of Biomass Supply Chains for Several Bio-refineries" @default.
- W3092816119 hasPublicationYear "2017" @default.
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