Eco-Efficiency of Construction Materials: Data Envelopment Analysis
Eco-Efficiency of Construction Materials: Data Envelopment Analysis
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DOI：
10.1061/(asce)co.1943-7862.0000484
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发表时间：
2012-06
期刊：
影响因子：
--
通讯作者：
O. Tatari;M. Kucukvar
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文献类型：
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作者：
O. Tatari;M. Kucukvar
可持续性评估工具在实现可持续发展的过程中至关重要。生态效率已成为一个实用的概念，它结合了环境和经济绩效指标，以衡量不同产品替代品的可持续性绩效。在本文中，可以用来评估建筑材料的生态效率的分析工具。该工具通过使用基于线性规划的数学方法的数据分析来评估建筑材料的生态效率。利用生命周期评价（LCA）和生命周期成本（LCC）计算生态效率比，利用数据包络分析（DEA）对材料替代品进行排序。开发的数学模型通过为建筑物选择最具生态效益的外墙饰面进行评估。进行百分比改善分析，以调查目标环境影响类别，需要更多的减少，以达到100%的生态效率。通过本研究，旨在表明基于DEA的生态效率评价模型可以用于评价替代建筑材料，并为决策者在材料选择过程中提供重要的指导。DOI：10.1061/（ASCE）CO.1943-7862.0000484。© 2012美国土木工程师协会。CE数据库主题词：建筑材料;可持续发展;数据分析;计算机编程。作者关键词：生态效率;可持续发展;数据挖掘分析;线性规划。
Sustainability assessment tools are critical in the process of achieving sustainable development. Eco-efficiency has emerged as a practical concept that combines environmental and economic performance indicators to measure the sustainability performance of different product alternatives. In this paper, an analytical tool that can be used to assess the eco-efficiency of construction materials is developed. This tool evaluates the eco-efficiency of construction materials by using data envelopment analysis, a linear programming-based mathematical approach. Life-cycle assessment (LCA) and life-cycle cost (LCC) are utilized to derive the eco-efficiency ratios, and data envelopment analysis (DEA) is used to rank material alternatives. Developed mathematical models are assessed by selecting the most eco-efficient exterior wall finish for a building. Percent improvement analysis was carried out to investigate target environmental effect categories that need more reduction to reach 100% eco-efficiency. Through this study, the goal is to show that DEA-based eco-efficiency assessment model could be used to evaluate alternative construction materials and offer vital guidance for decision makers during material selection. DOI: 10.1061/ (ASCE)CO.1943-7862.0000484. © 2012 American Society of Civil Engineers. CE Database subject headings: Construction materials; Sustainable development; Data analysis; Computer programming. Author keywords: Eco-efficiency; Sustainable development; Data envelopment analysis; Linear programming.