A multi-objective, hub-and-spoke model to design and manage biofuel supply chains
A multi-objective, hub-and-spoke model to design and manage biofuel supply chains
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DOI：
10.1007/s10479-015-2102-3
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发表时间：
2016-01
影响因子：
4.8
通讯作者：
M. Roni;S. Eksioglu;Kara G. Cafferty;J. Jacobson
中科院分区：
文献类型：
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作者：
M. Roni;S. Eksioglu;Kara G. Cafferty;J. Jacobson
在本文中，我们提出了一个多目标，混合整数线性规划模型来设计和管理生物燃料供应链。这一模式反映了提供生物燃料的成本、环境和社会影响之间的权衡。生物燃料工厂的内向供应链依赖于一种中心辐射结构，这种结构优化了生物质的运输成本。该模型优化了供应链中运输相关活动的排放。该模型还优化了生物燃料的社会影响。社会影响通过创造的就业机会数量来评估。多目标优化模型采用增广约束法求解。该方法提供了一组Pareto最优解。我们开发了一个案例研究，使用的数据来自美国的中西部地区。数值分析估计了在不同情况下产生的纤维素乙醇的数量和成本。我们提供的见解将帮助政策制定者设计鼓励和支持可再生能源生产的政策。
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 theemissions 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-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.