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Optimization of multimodal, multi-period and complex biodiesel supply chain systems: Case study

机译:多模式,多周期和复杂生物柴油供应链系统的优化:案例研究

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Todays, global warming and environmental issues are obvious and governments seek to alternative renewable fuels instead of fossil fuels. Among renewable fuels, biofuels because of the direct usable and easy production are highly interested. In this study, the biodiesel supply chain network is designed considering Jatropha, waste cooking oil and microalgae as feedstocks. The proposed model is a mixed-integer linear programming (MILP) model which integrates all echelons of a biodiesel supply chain from raw material collection to biodiesel consumption stations in a multi-period condition. Also, different transportation modes for transporting different products are considered. The proposed model is applied in a real case in Iran. The achieved results indicate the applicability of the proposed model in optimum design of biodiesel supply chain.
机译:如今,全球变暖和环境问题显而易见,各国政府寻求替代可再生燃料而不是化石燃料。在可再生燃料中,由于可直接使用和易于生产,生物燃料备受关注。在这项研究中,生物柴油供应链网络的设计以麻疯树,废食用油和微藻类为原料。所提出的模型是一个混合整数线性规划(MILP)模型,该模型在多个时期内整合了从原料收集到生物柴油消耗站的生物柴油供应链的所有梯队。另外,考虑了用于运输不同产品的不同运输模式。提议的模型在伊朗的实际案例中得到了应用。取得的成果表明,该模型在生物柴油供应链优化设计中的适用性。

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