A multi-objective, hub-and-spoke model to design and manage biofuel supply chains
Autor: | Sandra D. Eksioglu, Jacob J. Jacobson, Mohammad S. Roni, Kara G. Cafferty |
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Rok vydání: | 2016 |
Předmět: |
Mathematical optimization
business.industry Computer science 020209 energy Supply chain General Decision Sciences Biomass 02 engineering and technology Management Science and Operations Research Multi-objective optimization Renewable energy Biofuel Cellulosic ethanol 0202 electrical engineering electronic engineering information engineering Production (economics) business Constraint (mathematics) |
Zdroj: | Annals of Operations Research. 249:351-380 |
ISSN: | 1572-9338 0254-5330 |
Popis: | In this paper we propose a multi-objective, mixed integer linear programming model to design and manage the supply chain for biofuels. This model captures the trade-offs that exist between costs, environmental and social impacts of delivering biofuels. The in-bound supply chain for biofuel plants relies on a hub-and-spoke structure which optimizes transportation costs of biomass. The model proposed optimizes the $$\hbox {CO}_{2}$$ emissions due to transportation-related activities in the supply chain. The model also optimizes the social impact of biofuels. The social impacts are evaluated by the number of jobs created. The multi-objective optimization model is solved using an augmented $$\epsilon $$ -constraint method. The method provides a set of Pareto optimal solutions. We develop a case study using data from the Midwest region of the USA. The numerical analyses estimates the quantity and cost of cellulosic ethanol delivered under different scenarios generated. The insights we provide will help policy makers design policies which encourage and support renewable energy production. |
Databáze: | OpenAIRE |
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