Papers by Keyword: Grey Correlation Model

Abstract: With peoples growing awareness of green economy, low-carbon economic development has been increasingly demanded. The relationship of energy consumption structure and economic growth can be an important indicator for an economic entitys ecological economy process. With the implementation of the Shandong peninsula blue economic zone in 2011, Shandong Province has been developing rapidly in recent years. Taking Shandong economic entity as the research object, the paper analyses the correlation between the economic development and different kinds of energy consumption, including coal, oil, electricity and new energy, with the grey correlation model using the data from 2000 to 2009 that representing the economic development and energy consumption. The result of the study shows that new energy consumption has the great correlation with economic development indicating that Shandong emphasizes on the development and utilization of new energy to reduce the excessive consumption of non-renewable energy in its economic growth.

Abstract: In order to evaluate the water quality of Longjiang river comprehensively, diatoms of 15 sampling sites are collected to establish the Grey Relational Model based on three diatom indexesIPS, IBD and IDG. From the Cluster analysis of sampling sites and the box plot of diatom index, IBD is the best, then the IPS, the diatom index weights on water quality assessment are 0.637 for IBD, 0.2583 for IPS, 0.1074 for IDG respectively. Finally, by comparing the water quality standard level based on Grey Relational Model, it can be known that the water quality of most sampling sites is fine except that site No.1 and No.3 belong to III water quality standard. The result shows that it is more comprehensive and reasonable to use the Grey Relational Model based on diatom index rather than individual diatom index to assess water quality.

Abstract: This paper points out that the rapid response is the core competitiveness of agile supply chain, discerns influence factors on response speed effectively, and expounds how these factors influence the operational efficiency of the agile supply chain. Finally, it provides reference to enterprise about how to analyze various factors on response speed and improve related factors by constructing grey correlation model.