C21 - Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile RegressionsReturn

The aim of the paper was to describe the literature overview of companies' location in the context of the economy and the assessment of companies' performance. Then there is the introduction of a new statistical methodology for the description of the location of companies because the location of companies is one of the most important factors which ensures the future successful development of a company. The methodology can be applied for the evaluation of companies' location and could answer the question of where it is better to place a new company. To tackle the location of companies, the local population and the health of companies was taken into account. The methodology is based on a point process. Since the population is unevenly distributed and companies choose their locations according to the size of the local population, it was not possible to use homogeneous models and thus the local scaling principals were used for modeling the inhomogeneity. For the evaluation of the health of companies, Neumeiers' indices were taken into account.

During recent years, the supply chain performance management has become a key strategic consideration. Many manufacturers seek to collaborate with their suppliers and customers in order to upgrade their competitiveness and management performance. Because of complexity, uncertainty and vagueness inherent in supply chains, performance measurement using fuzzy approach was also identified as a new research direction. The main aim of the paper is focused on evaluation of logistic dimensions (sets of logistic indicators) in supply chain, where the uncertainty arises from the inability to perform adequate measurement, and deals with application of fuzzy approach, that provides a formal method for modeling imprecise, vagueness or incomplete relationships inherent in supply chains. Gathered data from questionnaires are analyzed by cluster analysis. Afterwards fuzzy methods are used evaluations of basic five dimensions, which contain several numbers of logistic indicators. The new methodology adopted from Soyer, Kabak, Asan (2007) research based on the intersection of fuzzy sets and fuzzy entropy method has been applied to evaluations in a case study. Results are afterwards modified by a applying of different membership functions, and changes of dimensions measures are analyzed. Finally supply chain modifying by adding new companies with capability of bind to supply chain are examined. New results of evaluation are compared according to new companies' membership to different clusters.