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A FTOPSIS based occupational health and safety risk management method for identifying optimal safety measures for building construction projects

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2019
Kılınç, Bora
The construction sector is based mainly on manpower, and it has high injury and death rate when compared to other sectors, particularly in developing countries, because of difficult working conditions, long working hours and lower qualification of workers. According to the research on occupational accidents, it has been found that the health and safety measures for prevention of accidents are always in the best interest of the company and which usually cost much less when compared with the costs of an accident. To reduce or eliminate the potential accidents, especially for work-related accidents, risk analysis needs to be carried out on the safety-related risks and preventive measures need to be taken to reduce the number of accidents before construction phase begins. This will enable contractors to identify and evaluate the risks related to accidents and also decide the safety measures that need to be taken to minimize the risks. The scope of this thesis is to develop a novel qualitative FTOPSIS (Fuzzy Technique of Order Preference Similarity to the Ideal Solution) based occupational health and safety (OHS) risk management method for identifying and evaluating the health and safety risks and also for finding optimal safety measures to minimize the risks for building constructions. A Mixed-Integer Nonlinear Programming Model (MINLP) is included in the method to determine the optimal safety measures for a given budget. To implement the developed risk management method, MS Excel Tool has been created using VBA (Visual Basic for Applications). The method is illustrated by a real case building project.