Models and Methods of Support Decision for Management of It Companies

Abstract

Studies have been carried out and methods have been proposed to increase the competitiveness of IT companies by improving the quality of their state analysis taking into account stochastic indicators. Growth conditions may provide mergers and acquisitions (M&A). One of the important components of mergers and acquisitions is a qualitative assessment of the value and condition of the company associated with the development of IT. Particularly tangible are the results of a qualitative financial analysis for IT companies whose activities are aimed at the distribution and support of energy resources in a competitive environment of generating and supplying energy companies in the regions. The analysis of the data obtained as a result of the P&L financial report is mainly based on current indicators and can be partially used to prolong economic indicators for a certain (most often limited) period. In this case, the stochastic characteristics of non-interconnected influencing processes are practically not determined and quantitatively not taken into account. Thus, the definition of qualitative indicators of the economic state is most often based on a balanced scorecard (Balanced Scorecard, BSC). The authors propose using methods for evaluating stochastic indicators of IT development processes based on a number of tasks: 1) development and coordination of methods and models that allow for the assessment of influencing indicators in the analysis of the financial condition of the analyzed companies, taking into account the likelihood of the implementation of scenarios of their development; 2) creation of an information model and methods for processing current stochastic data and assessing the probability of the implementation of negative and positive outcomes

Practical Application of the New Approach To FMEA Method according to AIAG and VDA Reference Manual

“…Votes of criticism in the abovementioned areas have been appearing consistently for years, regardless of any subsequent amendment to the standard.) Such behaviour of the automotive market leaders, ultimately responsible for product quality, was focused on providing supply facilities of the expected quality and was aimed at minimizing the nuisance of multiple assessments of current and potential suppliers and consequently meeting the expectations of the final customer [6][7][8][9].…”