Statistical analysis of the impact of air pollution on the quality of inventory

Air pollution is a problem that concerns many of us all over the world. Developing countries are also facing this problem. For the most part, air pollution is a negative side‐effect of industrial development. As such, it primarily concerns industrialized countries. However, it has also great impact on those countries in the developing world that have steady growth in industrial development. Taiwan is one of the developing countries that has to deal with this problem. Air pollution is not just an environmental problem, but also a social problem. It has a particular impact, for example, on the quality of inventory. Discusses and demonstrates the application of a statistical method for studying the effect of air pollution on the quality of inventory and how results can be used to reduce costs. Provides a method to resolve the air pollution problem that pertains to the quality of inventory using a scientific approach. Since most of the enterprises in Taiwan are small or medium‐sized enterprises, the application of statistical methods such as the ANOVA model or regression techniques are not common. However, these statistical methods do have application for small or medium enterprises. Employs a statistical method using a sample of data collected from an aluminium extrusion plant in Taiwan. Shows that this statistical design can be used to identify pollution sources effectively, thus helping the managers of the plant to take preventive measures for the purpose of eliminating industrial pollution.