Evaluating Environmental Risk Using Multivariate Process Capability Indices

• Main Authors: Yeh-Tung Chen, 陳業統
• Other Authors: Jeh-Nan Pan
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/41944552609468291497

碩士 === 國立成功大學 === 統計學系碩博士班 === 91 === In recent years, the recognition of environmental issues has become a global concern. With the advent of high-technology era, consumers are increasingly concerned about the environmental impact of the products they use, and major organizations and corporations around the world are starting to systematically review the environmental performance of their supplies based on the regulations stipulated by Environmental Protection Agency of each country. In order to prevent further deterioration of environmental contamination, the establishment of environmental risk assessment indices serving as a key reference for monitoring environmental performance becomes an important research topic. Although the application of statistical process control tools to environmental process control and management has been noted before, and a few authors offer a deeper discussion of how a broad range of quality control charts can be applied to environmental management. However, both the univariate and multivariate process capability indices(to our knowledge) have not been discussed in this context before, especially the environment risk indices for assessing potential danger when several pollutants coexist. Several multivariate process capability indices proposed by Kocherlakota and Kocherlakota(1991), Niverthi and Dey(1995), have been thoroughly discussed and compared and a table showing the frequencies of occurrence vs. five ranks of environmental risks has also been constructed. Finally, a compute program using R language is developed to calculate the multivariate indices and a numeric example has been illustrated to show the application of these indices in early detection of air pollution in Taiwan area. Hopefully, it can provide a useful reference for the decision makers in government and industries.