Evaluation of the HAMRISK Expert System by Hierarchical Structuring of Criteria

Abstract

Previous research points to the need for the development of a decision-making system in the field of adaptive and contextual risk management of operation and maintenance of transport and mining machines, which ensures the optimal choice of maintenance strategy and consequently greater safety and health at work, reduction of direct and indirect costs of incidents, better planning and greater productivity. Accordingly, this research work refers to the analysis of data obtained by surveying respondents - users of the HAMRISK expert system for risk prevention in transport and mining machines (cranes, excavators, bulldozers, excavators, loaders, etc.).In order to analyze data, a hierarchical structure of criteria with defined importance coefficients was generated. The model of the hierarchical structure of survey questions, taken into account with the estimated coefficients of importance, ensured a unique decision-making model. The structural hierarchical model of decision-making gives a more detailed insight into the analysis of the survey questionnaires for the assessment of the HAMRSIK expert system for risk prevention in transport and mining machines, and presented directions for further development and improvement of the first variant of the software solution. The obtained results were also used in order to design marketing activities for the promotion of the HAMRISK expert system.