Fuzzy Logic Based System Modification for Industrial Sustainability Enhancement

被引：0
|
作者：
Liu, Zheng [1 ]
Huang, Yinlun [1 ]
Piluso, Cristina [2 ]
机构：
[1] Wayne State Univ, Dept Chem Engn & Mat Sci, Detroit, MI 48202 USA
[2] BASF Corp, Florham Pk, NJ 07932 USA
来源：
DESIGN FOR ENERGY AND THE ENVIRONMENT | 2010年
关键词：
Sustainability assessment; fuzzy logic; decision analysis; system improvement;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Industrial sustainability is pursued to achieve the long-term sustainable development of industrial systems. It is experienced that industrial sustainability problems are always difficult to handle, mainly because of system complexity and inherent uncertainties. In usual practice, the uncertainties encountered in Design for Sustainability (DfS) are processed mostly through deriving an agreeable solution by the parties involved. In this paper, we introduce a systematic, fuzzy-logic-based sustainability enhancement methodology that can be used readily for identifying and implementing a sustainability-bearing material-design solution for a given industrial system problem under uncertainties. The methodological efficacy is demonstrated through studying an automotive manufacturing-centered industrial regional problem for its sustainable development.
引用
收藏
页码：841 / 849
页数：9
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