Computing Complex for Assessing the Socio-Economic Efficiency of Fishing Industry Enterprises

Abstract

The paper proposes theoretical foundations for assessing the integrated efficiency of fishing industry enterprises. A set of parameters is proposed, including factors that characterize the environmental and social efficiency of the enterprise, as well as factors affecting the effectiveness of the enterprise management system. The factors for assessing environmental efficiency included assessments characterizing emissions of greenhouse gases and other harmful substances, the level of energy consumption, as well as the harm caused to water resources. The factors for assessing social effectiveness included assessments related to the level of wages, the level of injuries, the assessment of the effectiveness of labor protection measures and the assessment of staff housing conditions. To determine the effectiveness of corporate governance, factors related to the assessment of the quality management system, the assessment of the quality of risk management systems, and the assessment of the overall financial condition of the enterprise are taken into account. The proposed computer complex consists of two modules. The first module is used to form an integral estimate. The second module is used to correlate the received assessment to one of the seven classes of the state. The proposed provisions are based on the methods of fuzzy set theory and the property of the hierarchical fuzzy inference system, which is based on the Sugeno algorithm. The results of the study led to the conclusion that the system allows you to track the sharp deviation of each of the parameters. The presence of a block of grouping values makes it possible to form classes of states of the evaluated objects. Each of the state classes is identified with one of the seven levels of the ESG score value. The conclusions made open up the possibility of further development of corporate information systems.