Evaluation of High-Tech Industry Using Fuzzy ARAS Method

Abstract

In this article, High technology capacity planning and related to management we review the literature. Using the backdrop of the competitive. Strategic, tactical and operational perspectives. In the field of high technology Product innovation for a sample of 121 firms and the relationship between firm survival. To choose their freight delivery concept can be used by companies it provides a method. Advanced Extension of Additional Rate Assessment (ARAS) Method Rake distribution concept was developed to solve Exam problem. implementation of Based in Czech Republic tire manufacturing company is taken as a case. Despite the study, the proposed picture denouncing the ARAS method is general and any other company can use it. To verify the novel image denouncing the ARAS method, with nine state-of-the-art image fuzzy multi-criteria decision-making methods a comparative analysis is presented. Alternatives is Technological factors (TF), Economic factors (EF), Social (personnel) Factors (SF). Evaluation Parameter is biomedical micro electromechanical systems (BioMEMS) (C1), Nano technology (C2), Biotechnology (C3), Biomedical engineering (C4). In this type of analysis, Fuzzy ARAS methods determine for the best solution to the negative Short distance and very long distance to settlement, but Comparison of these distances doesn’t underestimate the importance. As a result, Technological factors (TF) is first rank, and Social (personnel) Factors (SF) is lowest rank.