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A GENERIC TACTICAL PLANNING MODEL TO SUPPLY A BIOREFINERY WITH BIOMASS *

机译:提供生物量的生物炼油厂的通用战术计划模型*

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The supply chains which bring biomass to biorefineries play a critical role in biofuel production. Optimization models can help decision makers to design more efficient chains and minimize the cost of biomass delivered to the refineries. This article based on a French national research project on biomass logistics considers one refinery, able to process several crops and several parts of the same crop, over a one-year horizon divided into days or weeks. A network model and a data model are first developed to let the decision maker describe the supply chain structure and its data, without affecting the underlying mathematical model. The latter is a mixed integer linear program which combines for the first time various features, either original or tackled separately in the literature. Knowing the refinery demands, it determines the activity levels in the network (amounts harvested, baled, transported, stored, etc.) and the required equipment, in order to minimize a total cost including harvesting costs, transport costs and storage costs. Numerical evaluations based on real data show that the proposed model can optimize large supply chains in reasonable running times.
机译:将生物质带入生物精炼厂的供应链在生物燃料生产中起着至关重要的作用。优化模型可以帮助决策者设计更有效的链,并最大程度地减少输送到精炼厂的生物质成本。本文基于法国一项有关生物质物流的法国国家研究项目,该研究考虑了一家精炼厂,能够在一年(分为几天或几周)的期限内处理几种作物和同一作物的多个部分。首先开发网络模型和数据模型,以使决策者在不影响基础数学模型的情况下描述供应链结构及其数据。后者是一个混合整数线性程序,它首次结合了各种功能,无论是原始功能还是文献中单独介绍的功能。知道炼油厂的需求后,它确定网络中的活动级别(收获,打包,运输,存储等的数量)和所需的设备,以使包括收获成本,运输成本和存储成本在内的总成本最小化。基于实际数据的数值评估表明,该模型可以在合理的运行时间内优化大型供应链。

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