Estimating the precision of a bivariate population

Quick efficient estimates are proposed for estimating the standard deviation of a circular bivariate population. Two procedures based on extreme observations are considered. The first of these employs the 100 p percent largest observations, while the second utilizes the extreme observations in k radial sectors.     

The database management system for Sakarya automotive suppliers and supply chain

This paper describes a database management system which was the result of a study carried out by Sakarya University and Adapazari Chamber of Commerce and Industry. The aim of the study was to increase the competitiveness of automotive companies in national and global markets by providing financial, economical and technological information regarding product design, supply chain, quality and job satisfaction. The results indicated that it is of vital importance to generate a supply-chain database management system for better selection of suppliers. Due to the huge number of data to be considered in decision-making, computer support seems to be inevitable.