Interpretative structural model(ISM) can transform a multivariate problem into several sub-variable problems to analyze a complex industrial structure in a more efficient way by building a multi-level hierarchical str...Interpretative structural model(ISM) can transform a multivariate problem into several sub-variable problems to analyze a complex industrial structure in a more efficient way by building a multi-level hierarchical structure model. To build an ISM of a production system, the partial correlation coefficient method is proposed to obtain the adjacency matrix, which can be transformed to ISM. According to estimation of correlation coefficient, the result can give actual variable correlations and eliminate effects of intermediate variables. Furthermore, this paper proposes an effective approach using ISM to analyze the main factors and basic mechanisms that affect the energy consumption in an ethylene production system. The case study shows that the proposed energy consumption analysis method is valid and efficient in improvement of energy efficiency in ethylene production.展开更多
China is the world’s largest producer of copper processing products as well as the world’s largest copper consumer market.In 2013,China produced more than 13.60 million tons of copper processing products,accounting ...China is the world’s largest producer of copper processing products as well as the world’s largest copper consumer market.In 2013,China produced more than 13.60 million tons of copper processing products,accounting for60%of the world’s total production.Since then,this proportion has expanded year by year,and will increase to about 66.7%in 2016.Meanwhile,China consumed nearly 11展开更多
基金Supported by the National Natural Science Foundation of China(61374166,6153303)the Doctoral Fund of Ministry of Education of China(20120010110010)the Fundamental Research Funds for the Central Universities(YS1404,JD1413,ZY1502)
文摘Interpretative structural model(ISM) can transform a multivariate problem into several sub-variable problems to analyze a complex industrial structure in a more efficient way by building a multi-level hierarchical structure model. To build an ISM of a production system, the partial correlation coefficient method is proposed to obtain the adjacency matrix, which can be transformed to ISM. According to estimation of correlation coefficient, the result can give actual variable correlations and eliminate effects of intermediate variables. Furthermore, this paper proposes an effective approach using ISM to analyze the main factors and basic mechanisms that affect the energy consumption in an ethylene production system. The case study shows that the proposed energy consumption analysis method is valid and efficient in improvement of energy efficiency in ethylene production.
文摘China is the world’s largest producer of copper processing products as well as the world’s largest copper consumer market.In 2013,China produced more than 13.60 million tons of copper processing products,accounting for60%of the world’s total production.Since then,this proportion has expanded year by year,and will increase to about 66.7%in 2016.Meanwhile,China consumed nearly 11
