在环境约束下优化原料进口
Optimizing feedstock imports with environmental constraints
AI总结：
本研究针对环境约束下的原料进口优化问题，提出一个非线性规划模型以同时最小化进口运输成本与水足迹，证明了解的存在性并定量揭示了运输成本、原料特性及水足迹与稀缺性相互作用对原料互换性的影响。
摘要：
在解决由原料进口进行商品生产的问题时，一个具有生态环境理性的智能体旨在最小化原料进口及其运输成本，同时减少原料生产过程的水足迹以及出口国的水资源稀缺程度。该问题被表述为一个非线性规划。本研究证明了解的存在性，并定量表明运输成本和非均匀的原料特性会阻碍原料的互换性。此外，研究还表明，各国之间水足迹与水资源稀缺性的相互作用能够阻碍或促进原料的互换性。
英文摘要：
In addressing the problem of commodity production out of feedstock imports, an eco-environmentally rational agent aims at minimizing the cost of feedstock imports and their transportation, but also the water footprint of the feedstock production process and the water scarcity in the exporting countries. The problem is formulated as a nonlinear program. This study proves the existence of solutions and quantitatively demonstrates that transportation costs and non-uniform feedstock characteristics inhibit feedstock interchangeability. Moreover, it is shown that the interplay between water footprint and water scarcity across countries can inhibit or foster feedstock interchangeability.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
