Iron ore tailings (IOTs) need to be properly managed to mitigate the environmental, social, and economic impacts of mining activities. To cope with this issue, we use data envelopment analysis (DEA) to evaluate alternatives for using IOT in the construction sector. The classical and weight restriction output-oriented DEA models were used in this analysis. The results show that the ranking of alternatives depends on the aspect being evaluated. Concrete block is the most environmentally friendly alternative when analysing both models. For both social and economic aspects, ceramics produced better results in the classical model, whereas Portland cement showed better outcomes in the weight restriction model. In this sense, the results suggest great potential for the use of IOT in the construction sector, enabling the reduction of risks and social and environmental impacts of tailings dams.

中文翻译：

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使用数据包络分析方法，寻找建筑行业铁矿石尾矿替代品的可持续方法

需要妥善管理铁矿石尾矿 (IOT)，以减轻采矿活动对环境、社会和经济的影响。为了解决这个问题，我们使用数据包络分析（DEA）来评估在建筑领域使用物联网的替代方案。本分析使用经典和权重限制输出导向的 DEA 模型。结果表明，替代方案的排名取决于所评估的方面。在分析这两个模型时，混凝土砌块是最环保的替代方案。在社会和经济方面，陶瓷在经典模型中产生了更好的结果，而波特兰水泥在重量限制模型中表现出更好的结果。从这个意义上说，结果表明物联网在建筑领域的应用具有巨大潜力，可以减少尾矿坝的风险以及社会和环境影响。