Evaluation of Construction Green Supply Chain Management

被引:0
|
作者
Thipparat, Thoedtida [1 ]
机构
[1] Prince Songkla Univ, Dept Civil Engn, Kho Hong, Thailand
关键词
green supply chain; Adaptive Neuro Fuzzy Inference System (ANTIS);
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
The green supply chain management (GSCM) is a powerful way to differentiate a company from its competitors and it can heavily influence the project success. This study aims to evaluate GSCM practice implementation among contractors. GSCM is an intangible and vague concept that is difficult to measure. The fuzzy analytic hierarchy process (FAIIP) is adopted to determine the relative weights linking each independent variable. Neurofuzzy system (NFS) using ANFIS method is used to evaluate GSCM. Fuzzy computation is applied to address the human subjectivity in the evaluating process which is usually vague and imprecise. Furthermore, the illustrative application of the proposed framework is provided through expert opinions to show the evaluation of GSCM. The results show that green purchasing and internal environmental management are the most important construct of GSCM. The weights associated with. aspects, criteria, and sub-criteria of GSCM may suggest how the companies can achieve competitive advantage by enhancing the GSCM.
引用
收藏
页码:209 / 213
页数:5
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