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Öğe DEVELOPING WEB BASED DECISION SUPPORT SYSTEM FOR EVALUATION OCCUPATIONAL RISKS AT SHIPYARDS(Brodarski Inst, 2017) Cebi, Selcuk; Akyüz, Emre; Sahin, YasinIn this study, a web based decision support system (WBDSS) has been developed to provide decision aid for risk analysis on occupational health and safety at shipyards. The system has been constructed as a modular structure to make its application easy for all kind of firms. The WBDSS is rule based and its database includes safety measures and risks for each tool and machine used in shipbuilding process. In addition, probability and hazard values have been involved in the case of violated measures. The frequencies of the violations that occurred in the work environment are entered to the system by the user. Hence, the system provides a decision support about the risks related to facilities and the cautions to be taken in the workplace. The developed WBDSS has the capability of determining accident, almost accident, and threat formation factors at workplace according to the changing parameters. In this aspect, it enables one to constantly monitor, check and evaluate risk preventive measures. Then, the capabilities of the suggested decision support system have been tested with different scenarios for shipyard processes. When the developed WBDSS is applied to all workplaces, it is aimed at providing a decrease in the number of accidents which cause death, occupational illness, injury, and temporary incapability.Öğe A phase of comprehensive research to determine marine-specific EPC values in human error assessment and reduction technique(Elsevier Science Bv, 2016) Akyüz, Emre; Celik, Metin; Cebi, SelcukHuman Error Assessment and Reduction Technique (HEART) is a well-known approach for performing critical operations in safety analysis. It has various applications in many different disciplines such as nuclear energy, railway transportation, aviation and healthcare services. In addition to identifying human error categories, determining and weighting of error-producing conditions (EPCs) is the key aspect of human reliability quantification. Although EPC values are defined specifically for some disciplines, for the maritime industry these values have not been derived yet in terms of ship operational management. The aim of this paper is to produce marine specific EPC values (m-EPCs) in accordance with an advanced methodological framework, including accident causation, weighting, decision-making consensus, and statistical validation. For these purposes, a multi-dimensional approach involving Majority Rule, HEART, HFACS, AHP, and validation techniques has been utilised. Finally, a comparison between existing EPC values (i.e. for the nuclear industry) and m-EPCs is also provided to clarify industrial safety perspectives. Furthermore, this research encourages maritime safety professionals and practitioners to perform human error predictions for various critical shipboard operations. (C) 2016 Elsevier Ltd. All rights reserved.