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Implementation of linear programming and life cycle approach in an Excel application to determine ecoefficiency

机译：在Excel应用中的线性规划和生命周期方法的实现，以确定生态特征

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The objective of this work is to compare the suitability of three data envelopment methods (DEA) applied in the context of linear programming for the analysis of the operational performance of multiple units in a selected group or sample with high data variability. In this sense, the use of average values that would imply discarding valuable information could be avoided. This approach will be combined with the life cycle assessment methodology (LCA) to evaluate ecoefficiency of the different systems. While the integration of both methodologies has been developed in the past, no analysis has been performed on the selection of the DEA models that can be applied. In the case study of multiple units considered here for mussel cultivation, radial models, as CCR, were not suitable due to the direct dependence of the inputs with the output, which would lead to high efficiency values for most units. Inside the non-radial models, the SBM model provides a more accurate perspective because inefficient units within the sample can be identified. This combined approach of DEA and LCA was later implemented in an Excel tool with the aim of developing a simple and user-friendly tool accessible to all researchers.
机译：这项工作的目的是比较三个数据包络方法（DEA）在线性编程中应用的适用性，以分析所选组中的多个单元的操作性能，或具有高数据变异性的样本。从这个意义上讲，可以避免使用丢弃有价值信息的平均值的使用。这种方法将与生命周期评估方法（LCA）相结合，以评估不同系统的疾病。虽然过去已经开发了两种方法的集成，但在选择可应用的DEA模型方面没有进行分析。在贻贝栽培中考虑的多个单元的情况下，由于输入与输出的直接依赖，因此，径向模型不适合，这将导致大多数单位的高效率​​值。在非径向模型内，SBM模型提供了更准确的透视图，因为可以识别样本内的低效单元。 DEA和LCA的这种综合方法后来在Excel工具中实施，目的是开发所有研究人员可访问的简单和用户友好的工具。

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