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A decision support platform for a bio‐based supply chain: Application to the region of Lower Saxony and Bremen (Germany).
Computers & Chemical Engineering ( IF 4.3 ) Pub Date : 2018-04-06
Christos Galanopoulos, Diego Barletta, Edwin Zondervan

In this work, a biomass supply chain model, for the region of Lower Saxony and Bremen in northern Germany, has been developed. Because of Germany's high demand for biofuels, the production and distribution of levulinic acid and bioethanol by wheat straw is studied. An illustrative bio-based supply chain model is developed and implemented in the Advanced Interactive Multidimensional Modeling (AIMMS) software. Then, this model is used to study the logistics, network optimization, transportation and inventory management, and the resulting environmental and economic impacts. In the end, a sensitivity analysis is conducted to evaluate the influence of key model parameters on these impacts. The results showed that a wheat straw supply chain network is profitable in the area of Bremen and Lower Saxony even though the bioproducts demand is not fully covered and that the transportation costs did not have a strong impact on the supply chain network.



中文翻译:

基于生物的供应链的决策支持平台:在下萨克森州和不来梅地区(德国)的应用。

在这项工作中,为德国北部的下萨克森州和不来梅地区开发了生物质供应链模型。由于德国对生物燃料的需求很高,因此研究了麦秸生产和分配乙酰丙酸和生物乙醇的方法。在高级交互式多维建模(AIMMS)软件中开发并实现了一个示例性的基于生物的供应链模型。然后,该模型用于研究物流,网络优化,运输和库存管理以及由此产生的环境和经济影响。最后,进行敏感性分析以评估关键模型参数对这些影响的影响。

更新日期:2018-04-06
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