BULETINUL INSTITUTULUI POLITEHNIC DIN IAŞI Publicat de Universitatea Tehnic „Gheorghe Asachi” din Iaşi Tomul LXI (LXV), Fasc. 4, 2015 Sec ia ELECTROTEHNIC . ENERGETIC . ELECTRONIC
HUMAN FACTOR MODELING USING MARKOV METHOD BY
MUGUREL-VASILE ROTARIU and BOGDAN-CONSTANTIN NEAGU* “Gheorghe Asachi” Technical University of Iaşi, Faculty of Electrical Engineering Received: November 27, 2015 Accepted for publication: December 14, 2015
Abstract. The model notion can be found in many domains, even though its origin is technological. For the human factor modelling, the Markov chains with continuous parameter might be used, considering the time as continuous variable and the space as discrete variable. The Markov method of the human factor operation is modelled starting from the Rasmussen data processing mode. The paper presents a particular approach of the human factor modelling taking into account that their operation states are represented by system nodes. The branches between systems nodes are double oriented and represent the repair and failure rate of the elements. By this failure or repair rate the transition is done between system nodes. Finally, as a reliability indicator, the probability of the human factor in a successful action was determined. Key words: human factor; Markov chain; reliability.
1. Introduction The elaboration of a complete human factor models it’s a very present desideratum; taking into account the complexity of a human being and its way of thinking, the accomplishment of this complex model will be also a challenge for the future. According to Fig. 1, the structure of a general model of data processing should contain the following main components (Rotariu et al., 2002): peripheral working memory (PWM); central working memory (CM); knowledge base (KB); buffer memory (BM), as an element of the knowledge data base. *
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