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System Approach to Biomass Harvest Operations: Simulation Modeling and Linear Programming for Logistic Design

机译:生物质收获操作的系统方法:物流设计模拟建模与线性规划

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The biomass logistics consists of multiple work processes intensively interlinked. The entire network operates in space and time coordinates. In this contest the feasibility is a function particularly of the logistic costs. Estimation of these costs is a complex task because the process involves the operation of a system of machines. The overall goal of this study was to present the combined use of both the simulation and linear programming models to optimize the flow of biomass from field to a powerplant. The simulation predicted the overall system performance. The results from the simulation model were then used as input in the linear programming model, which chosen the best combination of equipment for each field distance and yield, in order tominimize the logistic costs, while satisfying some constraint like the number of hours available for harvest and the area to be harvested. The presented case study refers to corn silage harvest. The optimized logistic costs to harvest and delivery 72001of corn silo within a 5 km biomass collection radius is 22.2 dollar.tDM~(-1) while the cost raises to 34.5 dollar.tDM~(-1) when collecting it in a range of 20 km.
机译:生物质物流由多个工作流程集中互连。整个网络在空间和时间坐标上运行。在这场比赛中,可行性是尤其是物流成本的功能。估计这些成本是一个复杂的任务,因为该过程涉及机器系统的操作。本研究的总体目标是展示模拟和线性规划模型的结合使用,优化生物量的流量从现场到动力装置。仿真预测了整体系统性能。然后将仿真模型的结果用作线性编程模型中的输入,选择了每个场距离和产量的最佳设备组合,以便在逻辑成本中的影响中,同时满足一些限制,例如收获的小时数。和要收获的区域。本案例研究指的是玉米青贮收获。在5公里的生物质收集半径内收获和交付72001的优化物流成本为22.2美元.TDM〜(-1),而成本在收集到20的范围内时升至34.5美元.TDM〜(-1) km。

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