Multiple Criteria Assessment of Insulating Materials with a Group Decision Framework Incorporating Outranking Preference Model and Characteristic Class Profiles

Multiple Criteria Assessment of Insulating Materials with a Group Decision Framework Incorporating Outranking Preference Model and Characteristic Class Profiles
复制标题

DOI:
10.1007/s10726-017-9549-3
复制
发表时间:
2018-02
影响因子:
3
通讯作者:
Miłosz Kadziński;L. Rocchi;Grzegorz Miebs;D. Grohmann;M. Menconi;L. Paolotti
Miłosz Kadziński;L. Rocchi;Grzegorz Miebs;D. Grohmann;M. Menconi;L. Paolotti
中科院分区:
管理学4区
文献类型:
--
作者:
Miłosz Kadziński;L. Rocchi;Grzegorz Miebs;D. Grohmann;M. Menconi;L. Paolotti

文献摘要

被引文献

相似文献

提出了一种评价绝缘材料可持续性的群决策框架。我们在一个模型上测试了13种材料,该模型用于通过屋顶的隔热来改造一座传统的农村建筑。为了从社会经济和环境的角度对材料进行评价,我们将生命周期成本和评价与适应性舒适性评价相结合。通过这种方式,每种涂层材料的性能是从成本和资源消耗的减少、建筑物的文化和历史意义的维护以及室内热舒适性的保证来衡量的。对这些材料的全面评估涉及将它们分配到三个按偏好排序的可持续发展类别之一。为此,我们使用了多标准决策分析方法,该方法考虑了数十名农村建筑物业主的偏好。所提出的方法框架结合了一个基于优先等级的偏好模型来比较绝缘材料与特征类别分布,同时使用从修正的SIMOS过程中得到的权重。根据稳健性分析的结果对每种材料的初始分类建议进行了验证,该分析结合了各个利益攸关方在产出或投入层面的偏好。分析表明,就整体可持续性而言,最有利的材料是玻璃棉、大麻纤维、红麻纤维、聚苯乙烯泡沫塑料、聚氨酯和岩棉。
We present a group decision making framework for evaluating sustainability of the insulating materials. We tested thirteen materials on a model that was applied to retrofit a traditional rural building through roof’s insulation. To evaluate the materials from the socio-economic and environmental viewpoints, we combined life cycle costing and assessment with an adaptive comfort evaluation. In this way, the performances of each coating material were measured in terms of an incurred reduction of costs and consumption of resources, maintenance of the cultural and historic significance of buildings, and a guaranteed indoor thermal comfort. The comprehensive assessment of the materials involved their assignment to one of the three preference-ordered sustainability classes. For this purpose, we used a multiple criteria decision analysis approach that accounted for preferences of a few tens of rural buildings’ owners. The proposed methodological framework incorporated an outranking-based preference model to compare the insulating materials with the characteristic class profiles while using the weights derived from the revised Simos procedure. The initial sorting recommendation for each material was validated against the outcomes of robustness analysis that combined the preferences of individual stakeholders either at the output or at the input level. The analysis revealed that the most favorable materials in terms of their overall sustainability were glass wool, hemp fibres, kenaf fibres, polystyrene foam, polyurethane, and rock wool.