集中生物能源需求的移动芯片配置

Mika Yoshida
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引用次数: 1

摘要

移动芯片的配置是生物能源供应链管理中的一个战术问题。由于运输距离和削片生产率决定了运输成本,因此影响了整个木屑供应成本。木质生物质的巨大而集中的需求需要多个供应商,移动切屑机的最佳配置应使整个供应成本最小化。本研究旨在阐明如何更好地管理由多个参与者组成的供应链,以满足对木屑的巨大而集中的需求。该模型是一个典型的5.8兆瓦容量的生物质发电厂的供应链。假设供应商从140千瓦和353千瓦两种尺寸中选择移动芯片。通过模型仿真,明确了两种不同的移动芯片的合理分配比在发电厂使用固定芯片的传统系统减少的总供电成本要小。最好的管理方法是只使用353千瓦的切屑机,其次是将产量较低的切屑机分配到更靠近需求的地方,以防止运输成本的倾斜。然而,在次优分配策略中,可能的冲突也被指定为供应商使用更高生产率的芯片的成本增加。这一结果强调了通过建立利益相关者之间的协作关系来解决这种冲突的必要性,这也是其他研究指出的,以维持供应链的良好状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Allocation of Mobile Chippers for a Concentrated Bioenergy Demand
Allocation of mobile chippers is a tactical problem of management in a bioenergy supply chain. It influences the entire supply cost of the wood chip since the transportation distance and the chipping productivity decide the transportation cost. Great and concentrated demands of woody biomass require multiple suppliers, and there should be the best allocation of mobile chippers which minimize the entire supply cost. This study aims to clarify better management of the supply chain consisting of multiple players for a great and concentrated demand for wood chip. The model was a supply chain for a typical biomass power plant with 5.8 MW capacity. Suppliers were assumed to select mobile chippers from two sizes, 140-kW and 353-kW. By the model simulation, it was clarified that the well-considered allocation of two different mobile chippers could reduce the entire supply cost less than the conventional system using a fixed chipper at the power plant. The best management was to use only the 353-kW chippers, and secondly to allocate the less productive chippers closer to the demand to prevent the incline of the transportation cost. However, the possible conflict was also specified as the increased cost of the suppliers using more productive chippers in the second best allocation strategy. This result emphasizes the necessity of resolving such conflict by making the collaborative relationship among stakeholders which has been pointed out by other researches as well to sustain the better condition of the supply chain.
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