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Life cycle aggregated sustainability index for the prioritization of industrial systems under data uncertainties
Computers & Chemical Engineering ( IF 4.3 ) Pub Date : 2018-03-19 , DOI: 10.1016/j.compchemeng.2018.03.015
Jingzheng Ren

This study aims at developing a generic method for measuring the sustainability of industrial systems and prioritizing industrial systems under uncertainties. The interval preference relation based goal programming model which can address vagueness and ambiguity existing in human's judgments was employed to determine the weights of the criteria for life cycle sustainability assessment. A life cycle aggregated sustainability index which incorporates both the data of industrial systems with respect to the evaluation criteria and the weights of the criteria was developed to prioritize the industrial systems. An illustrative case including four electricity generation systems were studied by the proposed method, and the results were also validated by another four multi-criteria decision making methods. The results reveal that the developed life cycle aggregated sustainability index can effectively prioritizing industrial systems under data uncertainties.



中文翻译:

数据不确定性下工业系统优先级的生命周期汇总可持续性指数

这项研究旨在开发一种通用方法,用于测量工业系统的可持续性并在不确定性下确定工业系统的优先级。基于区间偏好关系的目标规划模型可以解决人类判断中存在的模糊性和歧义性,用于确定生命周期可持续性评估标准的权重。制定了生命周期综合可持续性指数,该指数结合了有关评估标准的工业系统数据和标准权重,从而对工业系统进行了优先排序。通过提出的方法研究了包括四个发电系统的示例性案例,并通过另外四个多准则决策方法对结果进行了验证。

更新日期:2018-03-19
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