نبذة مختصرة : Tez (Doktora) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2020 ; The maintenance operations that carrying out in the engine room are essential for the availability, reliability and smooth running of machinery systems. Thus, maintenance activities should be executed in accordance with a predetermined schedule. In order to standardize this, a planned maintenance schedule (PMS) is widely utilized in the merchant ships. Therefore, the machinery systems should be maintained in accordance with the PMS guidelines. However, these labor intensive actions may end with undesired results due to human errors. Since the human error is responsible for the majority of operational accidents in many industrial domains; estimating the human reliability in accordance with the engine room conditions becomes an important issue. For this reason, human factor studies focus on the more specific, domain based analysis lately. In industrial working environments, there can be Error Producing Conditions (EPC) which may increase the error likelihood of human actors. The EPC often arise from safety issues which can be detected by a proper analysis during or prior to an operation. In the literature, there are 38 different EPC have been identified within the conventional human error assessment and reduction technique (HEART) method. The method calculates human error probability (HEP) not only with the EPC, but also the generic task types (GTT). For this reason, there are also 9 different GTT have been identified with the comprehensive task descriptions. These comprehensive descriptions make GTT a very convenient parameter for different industrial fields. As a result, industry specific human reliability studies modify the EPC parameters rather than GTT. In the literature, the EPC values have been redetermined for particular domains such as nuclear plants, railways, aviation and maritime. In the maritime, the EPC values have been adopted in shipboard operations via shipboard operations human reliability analysis (SOHRA). The SOHRA ...
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